Quiñonero-Candela, Joaquin.
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers / [electronic resource] : edited by Joaquin Quiñonero-Candela, Ido Dagan, Bernardo Magnini, Florence d’Alché-Buc. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. - digital. - Lecture Notes in Computer Science, 3944 0302-9743 ; . - Lecture Notes in Computer Science, 3944 .
9783540334286
10.1007/11736790 doi
Computer science.
Computer software.
Artificial intelligence.
Text processing (Computer science.
Computer vision.
Optical pattern recognition.
Computer Science.
Artificial Intelligence (incl. Robotics).
Algorithm Analysis and Problem Complexity.
Mathematical Logic and Formal Languages.
Document Preparation and Text Processing.
Image Processing and Computer Vision.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers / [electronic resource] : edited by Joaquin Quiñonero-Candela, Ido Dagan, Bernardo Magnini, Florence d’Alché-Buc. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. - digital. - Lecture Notes in Computer Science, 3944 0302-9743 ; . - Lecture Notes in Computer Science, 3944 .
9783540334286
10.1007/11736790 doi
Computer science.
Computer software.
Artificial intelligence.
Text processing (Computer science.
Computer vision.
Optical pattern recognition.
Computer Science.
Artificial Intelligence (incl. Robotics).
Algorithm Analysis and Problem Complexity.
Mathematical Logic and Formal Languages.
Document Preparation and Text Processing.
Image Processing and Computer Vision.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3