论文列表及评分结果

Task Clustering and Gating for Bayesian Multitask Learning.

电商所评分:7

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The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem.

电商所评分:4

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Statistical Dynamics of On-line Independent Component Analysis.

电商所评分:10

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On the Rate of Convergence of Regularized Boosting Classifiers.

电商所评分:9

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Relational Learning as Search in a Critical Region.

电商所评分:4

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ICA for Watermarking Digital Images.

电商所评分:2

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On the Proper Learning of Axis-Parallel Concepts.

电商所评分:8

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Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction.

电商所评分:5

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Dependence, Correlation and Gaussianity in Independent Component Analysis.

电商所评分:8

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On Inclusion-Driven Learning of Bayesian Networks.

电商所评分:4

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Designing Committees of Models through Deliberate Weighting of Data Points.

电商所评分:5

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Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results.

电商所评分:4

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Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored.

电商所评分:3

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Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming.

电商所评分:2

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Query Transformations for Improving the Efficiency of ILP Systems.

电商所评分:3

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Tree-Structured Neural Decoding.

电商所评分:9

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Combining Knowledge from Different Sources in Causal Probabilistic Models.

电商所评分:5

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An Efficient Boosting Algorithm for Combining Preferences.

电商所评分:7

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Learning Probabilistic Models: An Expected Utility Maximization Approach.

电商所评分:10

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Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task.

电商所评分:10

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Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning.

电商所评分:9

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Preference Elicitation via Theory Refinement.

电商所评分:5

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Nash Q-Learning for General-Sum Stochastic Games.

电商所评分:8

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Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet.

电商所评分:4

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A Maximum Likelihood Approach to Single-channel Source Separation.

电商所评分:6

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A Multiscale Framework For Blind Separation of Linearly Mixed Signals.

电商所评分:8

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On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines.

电商所评分:9

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Least-Squares Policy Iteration.

电商所评分:1

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Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains.

电商所评分:6

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ICA Using Spacings Estimates of Entropy.

电商所评分:8

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