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Statistical learning theory
Results: 800

#	Item
111	Context-Sensitive Induction Patrick Shafto1 , Charles Kemp1 , Elizabeth Baraff1 , John D. Coley2 , & Joshua B. Tenenbaum1 1 Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology 2 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Reasoning Inductive reasoning Philosophy of science Statistical inference Critical thinking Causality Concept learning Bayesian network Inference Bayesian inference Theory Argument
112	REV_ISS_WEB_COGS_12101_38 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-06-09 15:35:22 Statistics Statistical theory Statistical inference Philosophy of science Bayesian statistics Bayesian network Bayesian inference Bayesian probability Decision theory Prior probability Concept learning Markov chain Monte Carlo
113	Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen Computer Science Division University of California, Berkeley Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2004-05-13 12:59:32 Hilbert space Statistical classification Operator theory Positive-definite kernel Machine learning Support vector machine Reproducing kernel Hilbert space Learning Statistics Analysis Multiple kernel learning Kernel embedding of distributions
114	London Mathematical Society – EPSRC Durham Symposium Mathematics of Data Assimilation Monday 1st August – Thursday 11th August 2011 All talks will take place in room CLC203 Ken Wade Lecture Theatre, Calman Learning C Add to Reading List Source URL: www.maths.dur.ac.uk Language: English - Date: 2011-07-27 09:02:58 Statistics Statistical theory Control theory Linear filters Telecommunications engineering Estimation theory Bayesian statistics Crops Data assimilation Kalman filter Dynamical system Coffee
115	Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta Shayak Sen Add to Reading List Source URL: www.andrew.cmu.edu Language: English - Date: 2016-06-11 14:42:51 Statistics Mathematical analysis Statistical theory Probability Probability theory Regression analysis Probability distribution Expected value Conditional probability Random variable Joint probability distribution Errors and residuals
116	Deconfounding Hypothesis Generation and Evaluation in Bayesian Models Elizabeth Baraff Bonawitz (liz ) Department of Psychology, 5427 Tolman Hall Berkeley, CAUSA Thomas L. Griffiths (tom griffiths@b Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Statistical inference Philosophy of science Reasoning Statistical theory Machine learning Bayesian inference Inductive reasoning Bayesian network Bayesian probability Statistical hypothesis testing Inductive bias Inference
117	Efficient Learning of Linear Separators under Bounded Noise Pranjal Awasthi PAWASHTI @ CS . PRINCETON . EDU Princeton University Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Machine learning Statistics Loss function Statistical theory Learning Supervised learning Probability distributions Statistical classification Coding theory
118	Robustifying Bayesian nonparametric mixtures for count data Antonio Canale Department of Economics and Statistics and Collegio Carlo Alberto, University of Torino, Torino, Italy Add to Reading List Source URL: www.carloalberto.org Language: English - Date: 2016-04-19 06:54:26 Stochastic processes Statistical models Probability distributions Machine learning Statistical theory Mixture model PitmanYor process Dirichlet process Parametric model Poisson distribution Nonparametric statistics
119	A Lyapunov Based Stable Online Learning Algorithm For Nonlinear Dynamical Systems Using Extreme Learning Machines Vijay Manikandan Janakiraman∗ , XuanLong Nguyen† , Dennis Assanis‡ ∗ Department of Mechanical Eng Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2013-05-02 00:04:07 Control theory Dynamical systems Dimension reduction Mathematical optimization Statistical classification Nonlinear system identification Principal component analysis Recursive least squares filter Adaptive control Support vector machine Artificial neural network Lyapunov stability
120	An Empirical Study of Just-in-Time Defect Prediction using Cross-Project Models 1 Takafumi Fukushima1 , Yasutaka Kamei1 , Shane McIntosh2 , Add to Reading List Source URL: posl.ait.kyushu-u.ac.jp Language: English - Date: 2014-03-29 02:44:51 Survival analysis Biostatistics Data mining Detection theory Receiver operating characteristic Statistical classification Cross-validation Prediction Ensemble learning Reliability engineering Regression analysis

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