title stringlengths 4 67 | text stringlengths 43 278k |
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Bilinear form | In mathematics, a bilinear form is a bilinear map V × V → K on a vector space V (the elements of which are called vectors) over a field K (the elements of which are called scalars). In other words, a bilinear form is a function B : V × V → K that is linear in each argument separately:
B(u + v, w) = B(u, w) + B(v, w) ... |
Surveillance capitalism | Surveillance capitalism is a concept in political economics which denotes the widespread collection and commodification of personal data by corporations. This phenomenon is distinct from government surveillance, although the two can be mutually reinforcing. The concept of surveillance capitalism, as described by Shosha... |
Loewner order | In mathematics, Loewner order is the partial order defined by the convex cone of positive semi-definite matrices. This order is usually employed to generalize the definitions of monotone and concave/convex scalar functions to monotone and concave/convex Hermitian valued functions. These functions arise naturally in mat... |
Statistical interference | When two probability distributions overlap, statistical interference exists. Knowledge of the distributions can be used to determine the likelihood that one parameter exceeds another, and by how much.
This technique can be used for geometric dimensioning of mechanical parts, determining when an applied load exceeds th... |
Explanation-based learning | Explanation-based learning (EBL) is a form of machine learning that exploits a very strong, or even perfect, domain theory (i.e. a formal theory of an application domain akin to a domain model in ontology engineering, not to be confused with Scott's domain theory) in order to make generalizations or form concepts from ... |
Chernoff__apos__s distribution | In probability theory, Chernoff's distribution, named after Herman Chernoff, is the probability distribution of the random variable
Z
=
argmax
s
∈
R
... |
Single-particle trajectory | Single-particle trajectories (SPTs) consist of a collection of successive discrete points causal in time. These trajectories are acquired from images in experimental data. In the context of cell biology, the trajectories are obtained by the transient activation by a laser of small dyes attached to a moving molecule.
... |
Item tree analysis | Item tree analysis (ITA) is a data analytical method which allows constructing a
hierarchical structure on the items of a questionnaire or test from observed response
patterns. Assume that we have a questionnaire with m items and that subjects can
answer positive (1) or negative (0) to each of these items, i.e. the ite... |
NSynth | NSynth (a portmanteau of "Neural Synthesis") is a WaveNet-based autoencoder for synthesizing audio, outlined in a paper in April 2017.
== Overview ==
The model generates sounds through a neural network based synthesis, employing a WaveNet-style autoencoder to learn its own temporal embeddings from four different soun... |
Energy-based model | An energy-based model (EBM) (also called Canonical Ensemble Learning or Learning via Canonical Ensemble – CEL and LCE, respectively) is an application of canonical ensemble formulation from statistical physics for learning from data. The approach prominently appears in generative artificial intelligence.
EBMs provide a... |
NETtalk (artificial neural network) | NETtalk is an artificial neural network that learns to pronounce written English text by supervised learning. It takes English text as input, and produces a matching phonetic transcriptions as output.
It is the result of research carried out in the mid-1980s by Terrence Sejnowski and Charles Rosenberg. The intent behin... |
PVLV | The primary value learned value (PVLV) model is a possible explanation for the reward-predictive firing properties of dopamine (DA) neurons. It simulates behavioral and neural data on Pavlovian conditioning and the midbrain dopaminergic neurons that fire in proportion to unexpected rewards. It is an alternative to the ... |
Graded structure | In mathematics, the term "graded" has a number of meanings, mostly related:
In abstract algebra, it refers to a family of concepts:
An algebraic structure
X
{\displaystyle X}
is said to be
I
{\displaystyle I}
-graded for an index se... |
Link-centric preferential attachment | In mathematical modeling of social networks, link-centric preferential attachment
is a node's propensity to re-establish links to nodes it has previously been in contact with in time-varying networks. This preferential attachment model relies on nodes keeping memory of previous neighbors up to the current time.
== Ba... |
One-way analysis of variance | In statistics, one-way analysis of variance (or one-way ANOVA) is a technique to compare whether two or more samples' means are significantly different (using the F distribution). This analysis of variance technique requires a numeric response variable "Y" and a single explanatory variable "X", hence "one-way".
The ANO... |
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Wikipedia Machine Learning Corpus (wiki-ml-corpus)
A curated dataset of over 100 Wikipedia articles related to Machine Learning, Statistics, Probability, Data Science, and Deep Learning.
This dataset is designed for use in:
- NLP tasks like summarization, QA, and topic modeling
- ML interview prep and curriculum design
- Ontology-driven QA systems and SPARQL-based pipelines
- Building structured knowledge graphs from unstructured text
Dataset Structure
Each example in the dataset is a JSON object with the following fields:
{
"title": "Linear regression",
"text": "Linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables..."
}
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