论文列表及评分结果
Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension.
电商所评分：8
A Branch and Bound Incremental Conceptual Clusterer.
电商所评分：4
Probably Almost Discriminative Learning.
电商所评分：3
A Comparison of ID3 and Backpropagation for English Text-to-Speech Mapping.
电商所评分：2
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning.
电商所评分：2
Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition.
电商所评分：3
Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993.
电商所评分：8
A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance.
电商所评分：10
Generalizing Version Spaces.
电商所评分：6
Algebraic Reasoning about Reactions: Discovery of Conserved Properties in Particle Physics.
电商所评分：1
Quantifying Prior Determination Knowledge Using the PAC Learning Model.
电商所评分：8
Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System.
电商所评分：3
Implementing Valiant's Learnability Theory Using Random Sets.
电商所评分：1
A Further Comparison of Splitting Rules for Decision-Tree Induction.
电商所评分：8
On the Handling of Continuous-Valued Attributes in Decision Tree Generation.
电商所评分：5
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data.
电商所评分：1
Learning Binary Relations Using Weighted Majority Voting.
电商所评分：7
Support-Vector Networks.
电商所评分：4
Explorations of an Incremental, Bayesian Algorithm for Categorization.
电商所评分：8
A Bayesian Method for the Induction of Probabilistic Networks from Data.
电商所评分：7
A Framework for Average Case Analysis of Conjunctive Learning Algorithms.
电商所评分：1
Learning Boolean Functions in an Infinite Attribute Space.
电商所评分：1
First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem.
电商所评分：4
An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms.
电商所评分：6
Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms.
电商所评分：7
Multivariate Decision Trees.
电商所评分：6
Encouraging Experimental Results on Learning CNF.
电商所评分：10
On The Learnability Of Disjunctive Normal Form Formulas.
电商所评分：9
Alecsys and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems.
电商所评分：7
On the Stochastic Complexity of Learning Realizable and Unrealizable Rules.
电商所评分：6