Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642041730, 9783642041747

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Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_27 ◽

2009 ◽

pp. 414-429 ◽

Cited By ~ 5

Author(s):

Sameer Singh ◽

Karl Schultz ◽

Andrew McCallum

Keyword(s):

Entity Resolution ◽

Factor Graphs ◽

Joint Inference

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Optimal Online Learning Procedures for Model-Free Policy Evaluation

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_31 ◽

2009 ◽

pp. 473-488

Author(s):

Tsuyoshi Ueno ◽

Shin-ichi Maeda ◽

Motoaki Kawanabe ◽

Shin Ishii

Keyword(s):

Online Learning ◽

Policy Evaluation ◽

Model Free

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Dependency Tree Kernels for Relation Extraction from Natural Language Text

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_18 ◽

2009 ◽

pp. 270-285 ◽

Cited By ~ 9

Author(s):

Frank Reichartz ◽

Hannes Korte ◽

Gerhard Paass

Keyword(s):

Natural Language ◽

Relation Extraction ◽

Natural Language Text ◽

Dependency Tree ◽

Language Text

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Efficient Pruning Schemes for Distance-Based Outlier Detection

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_11 ◽

2009 ◽

pp. 160-175 ◽

Cited By ~ 13

Author(s):

Nguyen Hoang Vu ◽

Vivekanand Gopalkrishnan

Keyword(s):

Outlier Detection

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Graph-Based Discrete Differential Geometry for Critical Instance Filtering

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_5 ◽

2009 ◽

pp. 63-78 ◽

Cited By ~ 7

Author(s):

Elena Marchiori

Keyword(s):

Differential Geometry ◽

Discrete Differential Geometry

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On Discriminative Parameter Learning of Bayesian Network Classifiers

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_15 ◽

2009 ◽

pp. 221-237 ◽

Cited By ~ 3

Author(s):

Franz Pernkopf ◽

Michael Wohlmayr

Keyword(s):

Bayesian Network ◽

Parameter Learning ◽

Bayesian Network Classifiers

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Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_6 ◽

2009 ◽

pp. 79-94 ◽

Cited By ~ 32

Author(s):

Mohammad M. Masud ◽

Jing Gao ◽

Latifur Khan ◽

Jiawei Han ◽

Bhavani Thuraisingham

Keyword(s):

Data Streams

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Learning the Difference between Partially Observable Dynamical Systems

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_43 ◽

2009 ◽

pp. 664-677

Author(s):

Sami Zhioua ◽

Doina Precup ◽

François Laviolette ◽

Josée Desharnais

Keyword(s):

Dynamical Systems ◽

The Difference ◽

Partially Observable

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Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_13 ◽

2009 ◽

pp. 189-204 ◽

Cited By ~ 4

Author(s):

Sang-Hyeun Park ◽

Johannes Fürnkranz

Keyword(s):

Multiclass Classification ◽

Error Correcting Output Codes ◽

Efficient Decoding

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Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04174-7_30 ◽

2009 ◽

pp. 458-472 ◽

Cited By ~ 1

Author(s):

Songbo Tan ◽

Gaowei Wu ◽

Xueqi Cheng

Keyword(s):

Model Refinement ◽

Centroid Classifier

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Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs

Optimal Online Learning Procedures for Model-Free Policy Evaluation

Dependency Tree Kernels for Relation Extraction from Natural Language Text

Efficient Pruning Schemes for Distance-Based Outlier Detection

Graph-Based Discrete Differential Geometry for Critical Instance Filtering

On Discriminative Parameter Learning of Bayesian Network Classifiers

Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

Learning the Difference between Partially Observable Dynamical Systems

Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification

Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
Latest Publications