Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540334279, 9783540334286

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Evaluating Semantic Evaluations: How RTE Measures Up

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_18 ◽

2006 ◽

pp. 309-331 ◽

Cited By ~ 1

Author(s):

Sam Bayer ◽

John Burger ◽

Lisa Ferro ◽

John Henderson ◽

Lynette Hirschman ◽

...

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What Syntax Can Contribute in the Entailment Task

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_11 ◽

2006 ◽

pp. 205-216 ◽

Cited By ~ 10

Author(s):

Lucy Vanderwende ◽

William B. Dolan

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Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_4 ◽

2006 ◽

pp. 41-55 ◽

Cited By ~ 6

Author(s):

Nitesh V. Chawla

Keyword(s):

Decision Trees ◽

Better Than

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Estimating Predictive Variances with Kernel Ridge Regression

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_5 ◽

2006 ◽

pp. 56-77 ◽

Cited By ~ 6

Author(s):

Gavin C. Cawley ◽

Nicola L. C. Talbot ◽

Olivier Chapelle

Keyword(s):

Ridge Regression ◽

Kernel Ridge Regression

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Applying COGEX to Recognize Textual Entailment

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_24 ◽

2006 ◽

pp. 427-448 ◽

Cited By ~ 2

Author(s):

Daniel Hodges ◽

Christine Clark ◽

Abraham Fowler ◽

Dan Moldovan

Keyword(s):

Textual Entailment

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VENSES – A Linguistically-Based System for Semantic Evaluation

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_20 ◽

2006 ◽

pp. 344-371 ◽

Cited By ~ 3

Author(s):

Rodolfo Delmonte ◽

Sara Tonelli ◽

Marco Aldo Piccolino Boniforti ◽

Antonella Bristot

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Textual Entailment Recognition Using a Linguistically–Motivated Decision Tree Classifier

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_21 ◽

2006 ◽

pp. 372-384

Author(s):

Eamonn Newman ◽

Nicola Stokes ◽

John Dunnion ◽

Joe Carthy

Keyword(s):

Decision Tree ◽

Decision Tree Classifier ◽

Tree Classifier ◽

Textual Entailment

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A Pragmatic Bayesian Approach to Predictive Uncertainty

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_3 ◽

2006 ◽

pp. 33-40

Author(s):

Iain Murray ◽

Edward Snelson

Keyword(s):

Bayesian Approach ◽

Predictive Uncertainty

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Classification with Bayesian Neural Networks

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_2 ◽

2006 ◽

pp. 28-32

Author(s):

Radford M. Neal

Keyword(s):

Neural Networks ◽

Bayesian Neural Networks

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The 2005 PASCAL Visual Object Classes Challenge

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_8 ◽

2006 ◽

pp. 117-176 ◽

Cited By ~ 54

Author(s):

Mark Everingham ◽

Andrew Zisserman ◽

Christopher K. I. Williams ◽

Luc Van Gool ◽

Moray Allan ◽

...

Keyword(s):

Visual Object ◽

Object Classes

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Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Evaluating Semantic Evaluations: How RTE Measures Up

What Syntax Can Contribute in the Entailment Task

Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees

Estimating Predictive Variances with Kernel Ridge Regression

Applying COGEX to Recognize Textual Entailment

VENSES – A Linguistically-Based System for Semantic Evaluation

Textual Entailment Recognition Using a Linguistically–Motivated Decision Tree Classifier

A Pragmatic Bayesian Approach to Predictive Uncertainty

Classification with Bayesian Neural Networks

The 2005 PASCAL Visual Object Classes Challenge

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science
Latest Publications