Computational learning theory

Results: 425



#Item
251VC dimension / Computational learning theory / Dimension / Statistical classification

Review of Le ture 6 • The VC Inequality • mH(N ) is polynomial

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Source URL: work.caltech.edu

Language: English - Date: 2014-12-17 00:07:29
252Computational linguistics / Econometrics / Bitext word alignment / Machine translation / Estimation theory / Conditional random field / Semi-supervised learning / Named-entity recognition / Expectation–maximization algorithm / Statistics / Machine learning / Science

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning Mengqiu Wang and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed]USA

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-07-16 02:05:44
253Semantics / Predicate logic / Formal languages / Model theory / Computational linguistics / First-order logic / Parsing / Combinatory categorial grammar / Combinatory logic / Logic / Mathematics / Mathematical logic

Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions Yoav Artzi and Luke Zettlemoyer Computer Science & Engineering University of Washington Seattle, WA 98195

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Source URL: homes.cs.washington.edu

Language: English - Date: 2013-04-09 19:51:28
254Applied mathematics / Mathematics / Formal languages / Psycholinguistics / Poverty of the stimulus / Computational learning theory / Machine learning / Language / Universal grammar / Linguistics / Theoretical computer science / Language acquisition

Computational Learning Theory and Language Acquisition Alexander Clark1 and Shalom Lappin2 1 2

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Source URL: www.cs.rhul.ac.uk

Language: English - Date: 2010-08-27 06:57:58
255Machine learning / Science / Computational statistics / Neuroscience / Artificial neural network / Spike-timing-dependent plasticity / Spiking neural network / Hebbian theory / Unsupervised learning / Neural networks / Computational neuroscience / Cybernetics

Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks Trevor Bekolay ([removed]) Carter Kolbeck ([removed]) Chris Eliasmith (ce

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Source URL: mindmodeling.org

Language: English - Date: 2013-07-15 14:53:02
256Asymptotic analysis / Computational chemistry / Functional analysis / Perturbation theory / Stability theory / Degrees of freedom / Robotics / Dynamics / Perturbation / Mathematical analysis / Physics / Mathematical physics

Coupled dynamical system based arm-hand grasping model for learning fast adaptation strategies Ashwini Shukla∗, Aude Billard∗ Learning Algorithms and Systems Laboratory (LASA), Ecole Polytechnique Federale de Lausann

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Source URL: first-mm.informatik.uni-freiburg.de

Language: English - Date: 2012-07-18 12:07:22
257Electronic engineering / Humanoid robot / Kalman filter / Robotics / Robot / Mobile robot / Pose / Robot control / Control theory / Cybernetics

State Estimation for Walking Humanoids on Unknown Terrain Nicholas Rotella*, Michael Bloesch**, Ludovic Righetti*** and Stefan Schaal*** * Computational Learning and Motor Control Lab, University of Southern California,

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Source URL: www-clmc.usc.edu

Language: English - Date: 2014-08-01 16:47:03
258Asymptotic analysis / Computational chemistry / Functional analysis / Perturbation theory / Stability theory / Degrees of freedom / Robotics / Dynamics / Perturbation / Mathematical analysis / Physics / Mathematical physics

Coupled dynamical system based arm-hand grasping model for learning fast adaptation strategies Ashwini Shukla∗, Aude Billard∗ Learning Algorithms and Systems Laboratory (LASA), Ecole Polytechnique Federale de Lausann

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Source URL: www.first-mm.eu

Language: English - Date: 2012-07-18 12:07:22
259Complexity classes / Computability theory / Algorithmic information theory / Descriptive complexity / Kolmogorov complexity / Analysis of algorithms / Complexity / Minimum description length / Universal Turing machine / Theoretical computer science / Computational complexity theory / Applied mathematics

Data Complexity in Machine Learning Ling Li and Yaser S. Abu-Mostafa Learning Systems Group, California Institute of Technology Abstract. We investigate the role of data complexity in the context of binary classification

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Source URL: authors.library.caltech.edu

Language: English - Date: 2012-12-26 09:14:21
260Neuroscience / Science / Perceptron / ADALINE / Hebbian theory / Connectionism / Statistical classification / Artificial neuron / Feedforward neural network / Neural networks / Computational neuroscience / Cybernetics

READINGS IN DEEP LEARNING 8 Sep 2014 ADMINSTRIVIA • Will start a mailing list today – You will get a notice

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2014-09-08 12:59:33
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