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Shane Legg : Legg was awarded the $10,000 prize of the Canadian Singularity Institute for Artificial Intelligence for his PhD done in 2008. Legg was appointed Commander of the Order of the British Empire (CBE) in the 2019 Birthday Honours for services to the science and technology sector and to investment. == Reference... |
Jens Lehmann (scientist) : Jens Lehmann (born 29 March 1982) is a computer scientist who works with knowledge graphs and artificial intelligence. He is a principal scientist at Amazon, an honorary professor at TU Dresden, and a fellow of the European Laboratory for Learning and Intelligent Systems. Previously he was a ... |
Jens Lehmann (scientist) : In 2007, Lehmann co-founded the DBpedia knowledge graph project. Lehmann also works on symbolic artificial intelligence, specifically as it pertains to learning concepts in Description Logics (DLs) as well as Web Ontology Language class expressions. Within the field of question answering, he ... |
Jens Lehmann (scientist) : Lehmann graduated with a master's degree in Computer Science from the Technical University of Dresden and the University of Bristol in 2006. He then obtained a doctoral degree summa cum laude from Leipzig University in 2010 and was a research visitor at the University of Oxford. In 2013, he b... |
Jens Lehmann (scientist) : For his early work on learning concepts in description logics, he received the Best Student Paper Award at the International Conference on Inductive Logic Programming (ILP) 2007. He received the 10 Year SWSA Award for his work on DBpedia together with other co-founders that was published at t... |
Jens Lehmann (scientist) : Smart Data Analytics research group CEE.AI Speaker Project Jens Lehmann publications indexed by Google Scholar |
Fei-Fei Li : Fei-Fei Li (Chinese: 李飞飞; pinyin: Lǐ Fēifēi; born July 3, 1976) is a Chinese-American computer scientist known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board... |
Fei-Fei Li : Li was born in Beijing, China in 1976 and grew up in Chengdu, Sichuan. She studied at Sichuan Chengdu No.7 High School. When she was 12, her father emigrated to Parsippany, New Jersey from China. When she was 16, she and her mother joined him in the United States. She graduated from Parsippany High School ... |
Fei-Fei Li : From 2005 to 2006, Li was an assistant professor in the Electrical and Computer Engineering Department at the University of Illinois Urbana-Champaign, and from 2007 to 2009, she was an assistant professor in the Computer Science Department at Princeton University. She joined Stanford in 2009 as an assistan... |
Fei-Fei Li : Li is married to Stanford professor Silvio Savarese. They have a son and a daughter. |
Fei-Fei Li : Lee, Timothy B. (November 11, 2024). "How a stubborn computer scientist accidentally launched the deep learning boom". Ars Technica. Retrieved November 16, 2024. |
Timothy Lillicrap : Timothy P. Lillicrap is a Canadian neuroscientist and AI researcher, adjunct professor at University College London, and staff research scientist at Google DeepMind, where he has been involved in the AlphaGo and AlphaZero projects mastering the games of Go, Chess and Shogi. His research focuses on m... |
Timothy Lillicrap : Lillicrap attained a B.Sc. in cognitive science and artificial intelligence from University of Toronto in 2005, and a Ph.D. in systems neuroscience from Queen's University in 2012 under Stephen H. Scott. He then went on to become a postdoctoral research fellow at Oxford University, and joined Google... |
Timothy Lillicrap : Timothy Lillicrap has an extensive publication record. A selection of works is listed below: Timothy Lillicrap (2014). Modelling Motor Cortex using Neural Network Controls Laws. Ph.D. Systems Neuroscience Thesis, Centre for Neuroscience Studies, Queen's University, advisor: Stephen H. Scott Timothy ... |
Timothy Lillicrap : NSERC Fellowship Queen's University Graduate Award Governor General's Academic Medal Social Learning Strategies Tournament Winner 2nd Social Learning Strategies Tournament Winner European Research Council Proof of Concept Grant Centre for Neuroscience Studies Award for Excellence University College ... |
Timothy Lillicrap : Content in this article was copied from Timothy Lillicrap at the Chess Programming wiki, which is licensed under the Creative Commons Attribution-Share Alike 3.0 (Unported) (CC-BY-SA 3.0) license. |
Timothy Lillicrap : Homepage of Timothy P. Lillicrap Timothy P. Lillicrap - Google Scholar Citations |
Chih-Jen Lin : Chih-Jen Lin (Chinese: 林智仁; pinyin: Lín Zhìrén) is Distinguished Professor of Computer Science at National Taiwan University, and a leading researcher in machine learning, optimization, and data mining. He is best known for the open-source library LIBSVM, an implementation of support vector machines. |
Chih-Jen Lin : Chih-Jen Lin received his B.S. (1993) in mathematics at National Taiwan University, and M.S.E. (1996) and Ph.D. (1998) in computer science at the University of Michigan. |
Chih-Jen Lin : ACM Fellow (2015) For contributions to the theory and practice of machine learning and data mining. AAAI Fellow (2014) For significant contributions to the field of machine learning, and the development of a widely used SVM software. IEEE Fellow (2011) For contributions to support vector machine algorith... |
Chih-Jen Lin : Chih-Jen Lin Google Scholar, h-index is 63. |
Marius Lindauer : Marius Lindauer (born December 25, 1985, in Berlin, Germany) is a German computer scientist and professor of machine learning at the institute of artificial intelligence of the Leibniz University Hannover. He is known for his research on Automated Machine Learning and other meta-algorithmic approaches... |
Marius Lindauer : Marius Lindauer studied computer science at the University of Potsdam from 2005 to 2010. Under the supervision of Torsten Schaub and Holger Hoos, he received his Dr. rer. nat. at the University of Potsdam in 2015. In 2014, he joined the Machine Learning research lab led by Frank Hutter as the first po... |
Marius Lindauer : During his Ph.D., Marius won several international competitions in the fields of solving hard combinatorial optimization problems, including 1st place in the NP-track of the answer set programming competition 2011 with claspfolio, the Hard Combinatorial SAT+UNSAT of the SAT challenge 2012 with clasp-c... |
Marius Lindauer : Marius has delved into many research topics, all of which are unified under the umbrella of automating parts of the Machine Learning pipeline. His research touches many different aspects: Hyperparameter Optimization Multi-Fidelity Optimization Automated Reinforcement Learning Interactive AutoML Green ... |
Marius Lindauer : His website at the Institute of Artificial Intelligence -- Leibniz University Hannover |
Seppo Linnainmaa : Seppo Ilmari Linnainmaa (born 28 September 1945) is a Finnish mathematician and computer scientist known for creating the modern version of backpropagation. |
Seppo Linnainmaa : He was born in Pori. He received his MSc in 1970 and introduced a reverse mode of automatic differentiation in his MSc thesis. In 1974 he obtained the first doctorate ever awarded in computer science at the University of Helsinki. In 1976, he became Assistant Professor. From 1984 to 1985 he was Visit... |
Seppo Linnainmaa : Explicit, efficient error backpropagation in arbitrary, discrete, possibly sparsely connected, neural networks-like networks was first described in Linnainmaa's 1970 master's thesis, albeit without reference to NNs, when he introduced the reverse mode of automatic differentiation (AD), in order to ef... |
Seppo Linnainmaa : Seppo Linnainmaa on LinkedIn |
Michael L. Littman : Michael Lederman Littman (born August 30, 1966) is a computer scientist, researcher, educator, and author. His research interests focus on reinforcement learning. He is currently a University Professor of Computer Science at Brown University, where he has taught since 2012. |
Michael L. Littman : Before graduate school, Littman worked with Thomas Landauer at Bellcore and was granted a patent for one of the earliest systems for cross-language information retrieval. Littman received his Ph.D. in computer science from Brown University in 1996. From 1996 to 1999, he was a professor at Duke Univ... |
Michael L. Littman : Littman's research interests are varied but have focused mostly on reinforcement learning and related fields, particularly, in machine learning more generally, game theory, computer networking, partially observable Markov decision process solving, computer solving of analogy problems and other area... |
Michael L. Littman : Elected as an ACM Fellow in 2018 for "contributions to the design and analysis of sequential decision-making algorithms in artificial intelligence". Winner of the IFAAMAS Influential Paper Award (2014) Winner of the AAAI “Shakey” Award for Overfitting: Machine Learning Music Video (2014) Elected as... |
Michael L. Littman : Littman, Michael L.; Sutton, Richard S.; Singh, Satinder (2002). "Predictive Representations of State" (PDF). Advances in Neural Information Processing Systems 14 (NIPS). pp. 1555–1561. Littman, Michael L.; Keim, Greg A.; Shazeer, Noam M. (1999). "Solving crosswords with PROVERB". Proceedings of th... |
Michael L. Littman : Michael L. Littman at the Mathematics Genealogy Project Michael Littman's Homepage YouTube page Music Videos |
Julie Beth Lovins : Julie Beth Lovins (October 19, 1945, in Washington, D.C. – January 26, 2018, in Mountain View, California) was a computational linguist who published The Lovins Stemming Algorithm - a type of stemming algorithm for word matching - in 1968. The Lovins Stemmer is a single pass, context sensitive stemm... |
Julie Beth Lovins : Born on October 19, 1945, in Washington, D.C., Lovins grew up in Amherst, Massachusetts. Her father Gerald H. Lovins was an engineer and her mother, Miriam Lovins, a social services administrator. Lovins' brother Amory Lovins is the co-founder and chief environmental scientist of Rocky Mountain Inst... |
Julie Beth Lovins : Following Lovins' PhD, she spent a year working as a linguist-at-large at a University of Tokyo language research institute and as an English conversation teacher. She then joined the faculty at Tsuda College as a professor of English and linguistics, where she taught for seven years. During her tim... |
Julie Beth Lovins : After teaching Japanese phonology at Japanese universities abroad, Lovins moved back to the U.S. to work in the computing industry. She worked on early speech synthesis at Bell Labs in Murray Hill, New Jersey. At Bell Labs, Lovins worked with Osamu Fujimura, a Japanese linguist who is credited as a ... |
Julie Beth Lovins : Lovins published an article about her work on developing a stemming algorithm through the Research Laboratory of Electronics at MIT in 1968. Lovins' stemming algorithm is frequently referred to as the Lovins stemmer. A stemming algorithm is the process of taking a word with suffixes and reducing it ... |
Julie Beth Lovins : Lovins moved to Mountain View, California, in 1979, and later to Old Mountain View in 1981 with her partner and later husband Greg Fowler, a software engineer and advocate for environmental issues & the blind. In their free time, she and her husband enjoyed taking walks and volunteering for their lo... |
Jian Ma (computational biologist) : Jian Ma (Chinese: 马坚) is an American computer scientist and computational biologist. He is the Ray and Stephanie Lane Professor of Computational Biology in the School of Computer Science at Carnegie Mellon University. He is a faculty member in the Ray and Stephanie Lane Computational... |
Jian Ma (computational biologist) : Chen V#, Yang M#, Cui W, Kim JS, Talwalkar A*, and Ma J*. Applying interpretable machine learning in computational biology - pitfalls, recommendations and opportunities for new developments. Nature Methods, 21(8):1454-1461, 2024. Xiong K#, Zhang R#, and Ma J. scGHOST: Identifying sin... |
Jian Ma (computational biologist) : Jian Ma's publications indexed by Google Scholar |
Heikki Mannila : Heikki Olavi Mannila (born 4 January 1960 in Espoo) is a Finnish computer scientist, the president of the Academy of Finland. Mannila earned his Ph.D. in 1985 from the University of Helsinki under the supervision of Esko Ukkonen and for many years he was a professor at the University of Helsinki himsel... |
Heikki Mannila : Heikki Mannila's university home page |
Volker Markl : Volker Markl (born 1971) is a German computer scientist and database systems researcher. |
Volker Markl : In 1999, Markl received his PhD in computer science under the direction of Rudolf Bayer at the Technical University of Munich. His doctoral research led to the development of the UB-Tree. From 1997 to 2000, he was research group leader at FORWISS, the Bavarian research center for knowledge-based systems.... |
Volker Markl : Markl’s research interests lie at the intersection of distributed systems, scalable data processing, and machine learning. |
Volker Markl : Markl was elected member of the Berlin-Brandenburg Academy of Sciences and Humanities in 2021. His work was honoured with several awards, including: 2021 ICDE Best Paper Award 2021 BTW Best Paper Award 2020 ACM SIGMOD Best Paper Award 2020 ACM Fellow 2019 EDBT Best Paper Award 2017 BTW Best Paper Award 2... |
Volker Markl : Volker Markl publications indexed by Google Scholar Official website |
Yasuo Matsuyama : Yasuo Matsuyama (born March 23, 1947) is a Japanese researcher in machine learning and human-aware information processing. Matsuyama is a Professor Emeritus and an Honorary Researcher of the Research Institute of Science and Engineering of Waseda University. |
Yasuo Matsuyama : Matsuyama received his bachelor’s, master’s and doctoral degrees in electrical engineering from Waseda University in 1969, 1971, and 1974 respectively. The dissertation title for the Doctor of Engineering is Studies on Stochastic Modeling of Neurons. There, he contributed to the spiking neurons with s... |
Yasuo Matsuyama : From 1977 to 1078, Matsuyama was a research assistant at the Information Systems Laboratory of Stanford University. From 1979 to 1996, he was a faculty of Ibaraki University, Japan (the final position was a professor and chairperson of the Information and System Sciences Major). Since 1996, he was a P... |
Yasuo Matsuyama : Matsuyama’s works on machine learning and human-aware information processing have dual foundations. Studies on the competitive learning (vector quantization) for his Ph.D. at Stanford University brought about his succeeding works on machine learning contributions. Studies on stochastic spiking neurons... |
Yasuo Matsuyama : 2016: e-Teaching Award of Waseda University 2015: Best Textbook Award by the Japanese Society of Information Processing 2014: Fellow of the Japanese Society of Information Processing 2013: IEEE Life Fellow 2008: Y. Dote Memorial Best Paper Award of CSTST 2008 from ACM and IEEE 2006: LSI Intellectual P... |
Yasuo Matsuyama : Yasuo Matsuyama, Professor Emeritus of Waseda University Yasuo Matsuyama at IEEE |
Tom M. Mitchell : Tom Michael Mitchell (born August 9, 1951) is an American computer scientist and the Founders University Professor at Carnegie Mellon University (CMU). He is a founder and former chair of the Machine Learning Department at CMU. Mitchell is known for his contributions to the advancement of machine lear... |
Tom M. Mitchell : Mitchell was born in Blossburg, Pennsylvania and grew up in Upstate New York, in the town of Vestal. He received his bachelor of Science degree in electrical engineering from the Massachusetts Institute of Technology in 1973 and a Ph.D. from Stanford University under the direction of Bruce G. Buchanan... |
Tom M. Mitchell : Mitchell began his teaching career at Rutgers University in 1978. During his tenure at Rutgers, he held the positions of assistant and associate professor in the Department of Computer Science. In 1986, he left Rutgers and joined Carnegie Mellon University, Pittsburgh as a professor. In 1999, he becam... |
Tom M. Mitchell : He was elected into the United States National Academy of Engineering in 2010 "for pioneering contributions and leadership in the methods and applications of machine learning." He is also a Fellow of the American Association for the Advancement of Science (AAAS) since 2008 and a Fellow the Association... |
Tom M. Mitchell : Mitchell is a prolific author of scientific works on various topics in computer science, including machine learning, artificial intelligence, robotics, and cognitive neuroscience. He has authored hundreds of scientific articles. Mitchell published one of the first textbooks in machine learning, entitl... |
Tom M. Mitchell : Official website List of PhDs and Postdocs supervised by Professor Tom Mitchell Tom M. Mitchell at the Mathematics Genealogy Project |
Stephen Muggleton : Stephen H. Muggleton (born 6 December 1959, son of Louis Muggleton) is Professor of Machine Learning and Head of the Computational Bioinformatics Laboratory at Imperial College London. |
Stephen Muggleton : Muggleton received his Bachelor of Science degree in computer science (1982) and Doctor of Philosophy in artificial intelligence (1986) supervised by Donald Michie at the University of Edinburgh. |
Stephen Muggleton : Following his PhD, Muggleton went on to work as a postdoctoral research associate at the Turing Institute in Glasgow (1987–1991) and later an EPSRC Advanced Research Fellow at Oxford University Computing Laboratory (OUCL) (1992–1997) where he founded the Machine Learning Group. In 1997 he moved to t... |
Stephen Muggleton : Muggleton's research interests are primarily in Artificial intelligence. From 1997 to 2001 he held the Chair of Machine Learning at the University of York and from 2001 to 2006 the EPSRC Chair of Computational Bioinformatics at Imperial College in London. Since 2013 he holds the Syngenta/Royal Acade... |
Klaus-Robert Müller : Klaus-Robert Müller (born 1964 in Karlsruhe, West Germany) is a German computer scientist and physicist, most noted for his work in machine learning and brain–computer interfaces. |
Klaus-Robert Müller : Klaus-Robert Müller received his Diplom in mathematical physics and PhD in theoretical computer science from the University of Karlsruhe. Following his Ph.D. he went to Berlin as a postdoctoral fellow at GMD (German National Research Center for Computer Science) Berlin (now part of Fraunhofer Inst... |
Klaus-Robert Müller : Müller has contributed extensively to several major interests of machine learning, including support vector machines (SVMs) and kernel methods, and artificial neural networks. He pioneered applying new methods of pattern recognition in domains like brain–computer interfaces, using them for patient... |
Klaus-Robert Müller : Klaus-Robert Müller was elected a fellow of the German National Academy of Sciences Leopoldina in 2012. In 2017 he was elected member of the Berlin-Brandenburg Academy of Sciences and Humanities and also external scientific member of the Max Planck Society. In 2021 he was elected member of the Ger... |
Klaus-Robert Müller : with Holzinger, Andreas; et al., eds. (2022). xxAI – Beyond Explainable Artificial Intelligence. Lecture Notes in Computer Science. Vol. 13200. Springer Cham. doi:10.1007/978-3-031-04083-2. ISBN 978-3-031-04082-5. with Schütt, Kristof T.; et al., eds. (2020). Machine Learning Meets Quantum Physics... |
Klaus-Robert Müller : Klaus-Robert Müller publications indexed by Google Scholar Official website |
Radford M. Neal : Radford M. Neal (born September 12, 1956) is a professor emeritus at the Department of Statistics and Department of Computer Science at the University of Toronto, where he holds a research chair in statistics and machine learning. |
Radford M. Neal : Neal studied computer science at the University of Calgary, where he received his B.Sc. in 1977 and M.Sc. in 1980, with thesis work supervised by David Hill. He worked for several years as a sessional instructor at the University of Calgary and as a statistical consultant in the industry before coming... |
Hartmut Neven : Hartmut Neven (born 1964) is a German American scientist working in quantum computing, computer vision, robotics and computational neuroscience. He is best known for his work in face and object recognition and his contributions to quantum machine learning. He is currently Vice President of Engineering a... |
Hartmut Neven : Hartmut Neven studied Physics and Economics in Brazil, Köln, Paris, Tübingen and Jerusalem. He wrote his Master thesis on a neuronal model of object recognition at the Max Planck Institute for Biological Cybernetics under Valentino Braitenberg. In 1996 he received his Ph.D. in Physics from the Institute... |
Hartmut Neven : In 1998 Neven became research professor of computer science at the University of Southern California at the Laboratory for Biological and Computational Vision. In 2003 he returned as the head of the Laboratory for Human-Machine Interfaces at USC's Information Sciences Institute. |
Hartmut Neven : Keynote Presentation at the International Conference on Machine Learning ICML 2011 on Google Goggles and Machine Learning with Quantum Algorithms NIPS Video Lecture: Training a Binary Classifier with the Quantum Adiabatic Algorithm Google Tech Talk Series on Quantum Computing Preprints of Hartmut Neven ... |
Erkki Oja : Erkki Oja (born 22 March 1948) is a Finnish computer scientist and Aalto Distinguished Professor in the Department of Information and Computer Science at Aalto University School of Science. He is recognized for developing Oja's rule, which is a model of how neurons in the brain or in artificial neural netwo... |
Erkki Oja : Oja was born in Helsinki and studied at Helsinki University of Technology, where he received his diploma engineer in 1972, licentiate in technology in 1975 and Doctor of Technology in 1977. |
Erkki Oja : Oja was a research associate at the Center for Cognitive Science at Brown University between 1977 and 1978 and a research fellow at the Academy of Finland from 1976 to 1981. Since 1981, he took up a professorship in applied mathematics at Kuopio University (now University of Eastern Finland). He was a visit... |
Erkki Oja : Oja is a Fellow of the International Association for Pattern Recognition and the IEEE, and a member of the Finnish Academy of Sciences. He served as chairman of the European Neural Network Society between 2000 and 2005, and as the chairman of the Academy of Finland’s Research Council for Natural Sciences an... |
Erkki Oja : Oja, Erkki (1983). Subspace methods of pattern recognition. Letchworth, Hertfordshire, England: Research Studies Press. ISBN 0-86380-010-6. OCLC 9827401. Oja, Erkki; Kaski, Samuel, eds. (1999). Kohonen maps. Amsterdam: Elsevier. ISBN 978-0-444-50270-4. OCLC 162130904. Hyvärinen, Aapo; Karhunen, Juha; Oja, E... |
Steve Omohundro : Stephen Malvern Omohundro (born 1959) is an American computer scientist whose areas of research include Hamiltonian physics, dynamical systems, programming languages, machine learning, machine vision, and the social implications of artificial intelligence. His current work uses rational economics to d... |
Steve Omohundro : Omohundro has degrees in physics and mathematics from Stanford University (Phi Beta Kappa) and a Ph.D. in physics from the University of California, Berkeley. |
Steve Omohundro : Omohundro started the "Vision and Learning Group" at the University of Illinois, which produced 4 Masters and 2 Ph.D. theses. His work in learning algorithms included a number of efficient geometric algorithms, the manifold learning task and various algorithms for accomplishing this task, other relate... |
Steve Omohundro : Omohundro started Self-Aware Systems in Palo Alto, California to research the technology and social implications of self-improving artificial intelligence. He is an advisor to the Machine Intelligence Research Institute on artificial intelligence. He argues that rational systems exhibit problematic na... |
Steve Omohundro : At Thinking Machines Corporation, Cliff Lasser and Steve Omohundro developed Star Lisp, the first programming language for the Connection Machine. Omohundro joined the International Computer Science Institute (ICSI) in Berkeley, California, where he led the development of the open source programming l... |
Steve Omohundro : Omohundro's book Geometric Perturbation Theory in Physics describes natural Hamiltonian symplectic structures for a wide range of physical models that arise from perturbation theory analyses. He showed that there exist smooth partial differential equations which stably perform universal computation by... |
Steve Omohundro : From 1986 to 1988, he was an Assistant Professor of Computer science at the University of Illinois at Urbana-Champaign and cofounded the Center for Complex Systems Research with Stephen Wolfram and Norman Packard. While at the University of Illinois, he worked with Stephen Wolfram and five others to c... |
Steve Omohundro : Subutai Ahmad and Steve Omohundro developed biologically realistic neural models of selective attention. As a research scientist at the NEC Research Institute, Omohundro worked on machine learning and computer vision, and was a co-inventor of U.S. Patent 5,696,964, "Multimedia Database Retrieval Syste... |
Steve Omohundro : Omohundro has sat on the Machine Intelligence Research Institute board of advisors. He has written extensively on artificial intelligence, and has warned that "an autonomous weapons arms race is already taking place" because "military and economic pressures are driving the rapid development of autonom... |
Steve Omohundro : Official website Self-Aware Systems Steve Omohundro Interviews Playlist |
Michael Osborne (academic) : Michael Osborne (born 1982) is an Australian academic and scientist who serves as a professor of machine learning at University of Oxford in the Machine Learning Research Group in the Department of Engineering Science. In 2016 he co-founded Mind Foundry, an artificial intelligence company, ... |
Michael Osborne (academic) : He has a BEng in Mechanical Engineering and a BSc in both Pure Mathematics and Physics from the University of Western Australia. He has a PhD in Machine Learning from the University of Oxford. |
Michael Osborne (academic) : Osborne has contributed to over 100 publications, and his work has received over 24,000 citations with an h-index of 46 according to Google Scholar. and has acted as principal or co-investigator for £10.6M of research funding. His career has focused in particular on Bayesian approaches to A... |
Michael Osborne (academic) : He is also an Official Fellow of Exeter College, a Fellow of the ELLIS society, and a Faculty Member of the Oxford-Man Institute of Quantitative Finance. He joined the Oxford Martin School as Lead Researcher on the Oxford Martin Programme on Technology and Employment in 2015. He is a Direct... |
Devi Parikh : Devi Parikh is an American computer scientist. |
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