论文列表及评分结果

Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees.

电商所评分:6

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Sources of Success for Boosted Wrapper Induction.

电商所评分:5

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Exact Bayesian Structure Discovery in Bayesian Networks.

电商所评分:9

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Computable Shell Decomposition Bounds.

电商所评分:8

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Feature Discovery in Non-Metric Pairwise Data.

电商所评分:1

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Subgroup Discovery with CN2-SD.

电商所评分:3

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Lossless Online Bayesian Bagging.

电商所评分:10

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Fast String Kernels using Inexact Matching for Protein Sequences.

电商所评分:2

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RCV1: A New Benchmark Collection for Text Categorization Research.

电商所评分:10

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A Compression Approach to Support Vector Model Selection.

电商所评分:2

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Distance-Based Classification with Lipschitz Functions.

电商所评分:8

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Knowledge-Based Kernel Approximation.

电商所评分:5

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A Geometric Approach to Multi-Criterion Reinforcement Learning.

电商所评分:1

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The Sample Complexity of Exploration in the Multi-Armed Bandit Problem.

电商所评分:7

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On the Importance of Small Coordinate Projections.

电商所评分:5

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Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces.

电商所评分:1

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Boosting as a Regularized Path to a Maximum Margin Classifier.

电商所评分:9

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Reinforcement Learning with Factored States and Actions.

电商所评分:1

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Some Dichotomy Theorems for Neural Learning Problems.

电商所评分:10

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Randomized Variable Elimination.

电商所评分:5

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Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods.

电商所评分:6

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A Universal Well-Calibrated Algorithm for On-line Classification.

电商所评分:2

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Probability Estimates for Multi-class Classification by Pairwise Coupling.

电商所评分:1

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Efficient Feature Selection via Analysis of Relevance and Redundancy.

电商所评分:2

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Hierarchical Latent Class Models for Cluster Analysis.

电商所评分:3

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Statistical Analysis of Some Multi-Category Large Margin Classification Methods.

电商所评分:2

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A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation.

电商所评分:8

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Towards the support of innovative conceptual design through interactive designer/evolutionary computing strategies.

电商所评分:3

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Case-based evolutionary design.

电商所评分:10

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Adaptive enlargement of state spaces in evolutionary designing.

电商所评分:3

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