text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
study processes. interacting the Coupling in stochastic technique of a is theoretical widely used | Coupling is a widely used technique in the theoretical study of interacting stochastic processes. | 4,300 |
"lifted techniques inference" Numerous proposed. have been such for approaches | Numerous approaches for such "lifted inference" techniques have been proposed. | 4,301 |
We to separate amplification two decomposition the W a Schur use of mechanisms. | We use a Schur decomposition of W to separate the two amplification mechanisms. | 4,302 |
weak. must limited that find We be slowing dynamical if is amplification very kept | We find that amplification is very limited if dynamical slowing must be kept weak. | 4,303 |
samples. random consider from set learning a problem of the We | We consider the problem of learning a set from random samples. | 4,304 |
challenging, IRP solution is of even metaheuristics. for the biobjective The rather | The solution of the biobjective IRP is rather challenging, even for metaheuristics. | 4,305 |
profound effective neighborhood structures. representations lacking are solution appropriate a of understanding We and still | We are still lacking a profound understanding of appropriate solution representations and effective neighborhood structures. | 4,306 |
understanding of work the contributes such solution Our representations. to better | Our work contributes to the better understanding of such solution representations. | 4,307 |
margins are dimensionality reduction controlled weight Generalization, maximizing minimizing and vectors. by the | Generalization, dimensionality reduction and maximizing the margins are controlled by minimizing weight vectors. | 4,308 |
multimodal show good biometric by proposed paper. pattern this system in Results | Results show good pattern by multimodal biometric system proposed in this paper. | 4,309 |
discussed. by large maximum inference sample are likelihood estimation for and Furthermore, | Furthermore, estimation by maximum likelihood and inference for large sample are discussed. | 4,310 |
for We an clustering. Carlo Monte based hierarchical coalescent Bayesian new sampler sequential present | We present an new sequential Monte Carlo sampler for coalescent based Bayesian hierarchical clustering. | 4,311 |
modeling Our non-i.i.d. model appropriate is for | Our model is appropriate for modeling non-i.i.d. | 4,312 |
on data closely and show Results real approaches. artificial related over significant improvements | Results on artificial and real data show significant improvements over closely related approaches. | 4,313 |
data in proteomics, contains correlation complicated genomics, High-dimensional often common chemometrics structures. and | High-dimensional data common in genomics, proteomics, and chemometrics often contains complicated correlation structures. | 4,314 |
the point period of At oscillations bifurcation the the diverges. | At the bifurcation point the period of the oscillations diverges. | 4,315 |
of disposes datasets geographic Today, of large of composed one's thousands objects. | Today, one's disposes of large datasets composed of thousands of geographic objects. | 4,316 |
this In necessary. methods robust context, become sampling | In this context, robust sampling methods become necessary. | 4,317 |
on method this we techniques. propose paper, In sampling clustering based a | In this paper, we propose a sampling method based on clustering techniques. | 4,318 |
method shows select that objects. to our allows of samples This case-study relevant | This case-study shows that our method allows to select relevant samples of objects. | 4,319 |
the standard In supervised learning, data is the only labeled observed. | In the standard supervised learning, only the labeled data is observed. | 4,320 |
as are supervised problems The formalized learning. regression the classification and | The classification and regression problems are formalized as the supervised learning. | 4,321 |
labeled data. unlabeled semi-supervised obtained In to addition also learning, in data is | In semi-supervised learning, unlabeled data is also obtained in addition to labeled data. | 4,322 |
is in unlabeled to learning. improve exploiting data semi-supervised accuracy prediction Hence, the important | Hence, exploiting unlabeled data is important to improve the prediction accuracy in semi-supervised learning. | 4,323 |
problems missing estimation problem with as is This data. regarded semiparametric a | This problems is regarded as a semiparametric estimation problem with missing data. | 4,324 |
usefulness of present experiments methods. our Some the numerical | Some numerical experiments present the usefulness of our methods. | 4,325 |
In priors. a propose novel this for sparsity-inducing the of construction framework paper we | In this paper we propose a novel framework for the construction of sparsity-inducing priors. | 4,326 |
sparse can nonconvex framework with mixtures a Furthermore, penalization. Bayesian subserve Laplace scale for learning | Furthermore, Laplace scale mixtures can subserve a Bayesian framework for sparse learning with nonconvex penalization. | 4,327 |
can be of densities EP-GIG explicitly expressed. The | The densities of EP-GIG can be explicitly expressed. | 4,328 |
distribution posterior distribution. corresponding the inverse Moreover, generalized follows a also Gaussian | Moreover, the corresponding posterior distribution also follows a generalized inverse Gaussian distribution. | 4,329 |
learning. algorithms for These sparse EM us lead properties Bayesian to | These properties lead us to EM algorithms for Bayesian sparse learning. | 4,330 |
extensions selection present grouped regression. variable two addition, we and In for logistic | In addition, we present two extensions for grouped variable selection and logistic regression. | 4,331 |
mathematical age-old among "justification" cliche an for marriage provides This a counselors. | This provides a mathematical "justification" for an age-old cliche among marriage counselors. | 4,332 |
Both methods use problem error humans frequently systems artificial trial to and and solving. | Both humans and artificial systems frequently use trial and error methods to problem solving. | 4,333 |
perfect. control knowledge Unfortunately, is rarely this | Unfortunately, this control knowledge is rarely perfect. | 4,334 |
is artificial difficult. in often in one's of own knowledge systems-as Moreover, humans-self-evaluation | Moreover, in artificial systems-as in humans-self-evaluation of one's own knowledge is often difficult. | 4,335 |
our of have been Thus the using approach encouraging. results far, | Thus far, the results of using our approach have been encouraging. | 4,336 |
the on repository. an Our available is package R algorithm as CRAN | Our algorithm is available as an R package on the CRAN repository. | 4,337 |
we method In represent head a for novel paper, pose estimation. this | In this paper, we represent a novel method for head pose estimation. | 4,338 |
transform use the for we efficiency estimation feature the To enhance of extraction. contourlet | To enhance the efficiency of the estimation we use contourlet transform for feature extraction. | 4,339 |
Then, apply as neighborhood classifiers different we distance. minimum (knn) k-nearest such and | Then, we apply different classifiers such as k-nearest neighborhood (knn) and minimum distance. | 4,340 |
available to database evaluate use of proposed the We FERET performance the public method. | We use the public available FERET database to evaluate the performance of proposed method. | 4,341 |
of results Simulation robustness method. the the superior proposed indicate | Simulation results indicate the superior robustness of the proposed method. | 4,342 |
In problems defines clearly occurs Paper, CFA the authors the the this image. in | In this Paper, the authors clearly defines the problems occurs in the CFA image. | 4,343 |
a rate, which vaccine evolution high Influenza challenging. design has makes | Influenza has a high evolution rate, which makes vaccine design challenging. | 4,344 |
dominant approach detection an here We new of early strains. for consider | We here consider an approach for early detection of new dominant strains. | 4,345 |
dominant define strains. We emergence of metric detect then the a to | We then define a metric to detect the emergence of dominant strains. | 4,346 |
annual appear strain detection tool vaccine influenza useful would for be to selection. This | This strain detection tool would appear to be useful for annual influenza vaccine selection. | 4,347 |
discuss biological modularity hierarchy In and review, systems. we in this | In this review, we discuss modularity and hierarchy in biological systems. | 4,348 |
will Experimental reviewed. this support for be description | Experimental support for this description will be reviewed. | 4,349 |
networks. will be and networks, metabolic Examples networks, from protein-protein interaction pathogen presented gene structure, | Examples will be presented from pathogen structure, metabolic networks, gene networks, and protein-protein interaction networks. | 4,350 |
networks. will Additional pathways, social networks, and presented physiology, developmental be ecological from examples food | Additional examples will be presented from ecological food networks, developmental pathways, physiology, and social networks. | 4,351 |
under can model solved some The assumptions. be analytically simplest | The simplest model can be solved analytically under some assumptions. | 4,352 |
the examples. in two model of demonstrate the utility We | We demonstrate the utility of the model in two examples. | 4,353 |
We sequence-based to effectiveness in here introduce vaccine humans. a method predict | We here introduce a sequence-based method to predict vaccine effectiveness in humans. | 4,354 |
with cell the B probability The rate. hypermutation $p$ decreases | The probability $p$ decreases with the B cell hypermutation rate. | 4,355 |
output by The final obtained is interpolation. | The final output is obtained by interpolation. | 4,356 |
the to classroom A illustrate presented experiment in also results is practice. of our use | A classroom experiment is also presented to illustrate the use of our results in practice. | 4,357 |
then of Post-processing moving is to used the boundaries refine objects. | Post-processing is then used to refine the boundaries of moving objects. | 4,358 |
but of large fitness populations consider landscapes. finite on evolution We arbitrary the | We consider the evolution of large but finite populations on arbitrary fitness landscapes. | 4,359 |
describe Markov, Moran process. a process evolutionary We by the | We describe the evolutionary process by a Markov, Moran process. | 4,360 |
This enantioselectivity. question puts into key-lock models for | This puts into question key-lock models for enantioselectivity. | 4,361 |
from human tracking dataset. I show Eva on We pose results widely-used Human the also | We also show results on tracking human pose from the widely-used Human Eva I dataset. | 4,362 |
to evolves to system antibodies Influenza it. escape that immune from bind virus | Influenza virus evolves to escape from immune system antibodies that bind to it. | 4,363 |
A with constant. substitution positive G$ $\Delta\Delta value decreases the binding antibody | A substitution with positive $\Delta\Delta G$ value decreases the antibody binding constant. | 4,364 |
$\Delta\Delta On charged G$ the average acid amino an uncharged highest generates to substitution values. | On average an uncharged to charged amino acid substitution generates the highest $\Delta\Delta G$ values. | 4,365 |
Also generate on average, zero. near acids amino between $\Delta\Delta values small substitutions G$ to | Also on average, substitutions between small amino acids generate $\Delta\Delta G$ values near to zero. | 4,366 |
view. this of simulations Carlo support to virus are evolution Monte presented | Monte Carlo simulations of virus evolution are presented to support this view. | 4,367 |
model mutation individual-based under Evolutionary analysed population is stochastic, in a branching selection. and | Evolutionary branching is analysed in a stochastic, individual-based population model under mutation and selection. | 4,368 |
studied in the mutational dynamics evolutionary Then, of the limit step is traditionally, sizes. vanishing | Then, traditionally, the evolutionary dynamics is studied in the limit of vanishing mutational step sizes. | 4,369 |
non-negligible approach, the small mutational present steps but are In considered. | In the present approach, small but non-negligible mutational steps are considered. | 4,370 |
it ancient in nature. and suggests Evidence is ubiquitous both | Evidence suggests it is both ancient and ubiquitous in nature. | 4,371 |
phenomenon, consensus and unifying the importance of the principles lacking. appear Despite | Despite the importance of the phenomenon, consensus and unifying principles appear lacking. | 4,372 |
biological of integration. path neural representation is the for needed A issue fundamental space | A fundamental issue is the neural representation of space needed for biological path integration. | 4,373 |
is type of allothetic directional also available idiothetic, The namely or cue, considered. | The type of available directional cue, namely allothetic or idiothetic, is also considered. | 4,374 |
animals, and navigation Efficient planning for path transportation. robotics, is and logistics critical | Efficient path planning and navigation is critical for animals, robotics, logistics and transportation. | 4,375 |
connectivity. spiking wave propagates network, activity synaptic a hippocampus-like of the through altering A | A wave of spiking activity propagates through a hippocampus-like network, altering the synaptic connectivity. | 4,376 |
autocatalytic results This of from study of presents a paper new detailed sets. structure the | This paper presents new results from a detailed study of the structure of autocatalytic sets. | 4,377 |
quantitative examination This applicable analysis of the method to BSCs. is of quantitative | This quantitative method of examination is applicable to the quantitative analysis of BSCs. | 4,378 |
the with single click infinite and about finite formula We the time give potential. | We give the formula about the single click time with finite and infinite potential. | 4,379 |
provide results new understanding potential. a infinite These of | These results provide a new understanding of infinite potential. | 4,380 |
the states the whole unadaptive parameters adaptive and We regimes. analytically for demonstrate | We analytically demonstrate the adaptive and unadaptive states for the whole parameters regimes. | 4,381 |
about with parameters regions the points is issues Interesting fixed imaginary demonstrated. the | Interesting issues about the parameters regions with the imaginary fixed points is demonstrated. | 4,382 |
graphical results framework to quantitative a phenomenon. the These suggest study and absorbing | These results suggest a graphical and quantitative framework to study the absorbing phenomenon. | 4,383 |
performance method the We our with of examples. illustrate | We illustrate the performance of our method with examples. | 4,384 |
applications decade. The face its reliability in using proved last biometric has | The applications using face biometric has proved its reliability in last decade. | 4,385 |
DWT using (DBC- DBC Recognition propose FR) Face paper, In based model. this we | In this paper, we propose DBC based Face Recognition using DWT (DBC- FR) model. | 4,386 |
algorithm. render compared better existing proposed to recognition percentage rate algorithm The the | The proposed algorithm render better percentage recognition rate compared to the existing algorithm. | 4,387 |
studied of is (RTA) A reaction-diffusion model receptor-toxin-antibody interaction numerically. | A reaction-diffusion model of receptor-toxin-antibody (RTA) interaction is studied numerically. | 4,388 |
for the prediction data. of graph problem We evolving study | We study the problem of prediction for evolving graph data. | 4,389 |
efficient and to obtain formulation oracle solvers. convex allows inequalities The | The convex formulation allows to obtain oracle inequalities and efficient solvers. | 4,390 |
transport. Linked transport Without limited around applications data exclusively Data, to is | Without Linked Data, transport data is limited to applications exclusively around transport. | 4,391 |
these possible will because datasets. to data transport be be This linked will | This will be possible because transport data will be linked to these datasets. | 4,392 |
provide of bounds. method lower to exact guarantees approximations outer Our the | Our method guarantees to provide outer approximations of the exact lower bounds. | 4,393 |
kind a not is limited of network specific Our method structure. to | Our method is not limited to a specific kind of network structure. | 4,394 |
approaches. is computational to superior other existing The of that complexity | The computational complexity is superior to that of other existing approaches. | 4,395 |
viewed variables uncertainty as The values. their quantify to random parameters are about | The parameters are viewed as random variables to quantify uncertainty about their values. | 4,396 |
to i.e., of responses queries; Belief to conditional are interest. used nets probabilities compute | Belief nets are used to compute responses to queries; i.e., conditional probabilities of interest. | 4,397 |
variable. A a is the function a random parameters, hence of query | A query is a function of the parameters, hence a random variable. | 4,398 |
and variance. We accurate both approximations more mean query for develop | We develop more accurate approximations for both query mean and variance. | 4,399 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.