Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment [electronic resource] : First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers / edited by Joaquin QuiȘonero-Candela, Ido Dagan, Bernardo Magnini, Florence dAlchȨ-Buc.

Por: QuiȘonero-Candela, Joaquin [editor.]Colaborador(es): Dagan, Ido [editor.] | Magnini, Bernardo [editor.] | dAlchȨ-Buc, Florence [editor.]Tipo de material: TextoTextoSeries Lecture Notes in Computer Science, 3944Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Descripción: XIII, 462 p. Also available online. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783540334286Trabajos contenidos: SpringerLink (Online service)Tema(s): 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 RecognitionFormatos físicos adicionales: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: de clik aquí para ver el libro electrónico
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Evaluating Predictive Uncertainty Challenge -- Classification with Bayesian Neural Networks -- A Pragmatic Bayesian Approach to Predictive Uncertainty -- Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees -- Estimating Predictive Variances with Kernel Ridge Regression -- Competitive Associative Nets and Cross-Validation for Estimating Predictive Uncertainty on Regression Problems -- Lessons Learned in the Challenge: Making Predictions and Scoring Them -- The 2005 PASCAL Visual Object Classes Challenge -- The PASCAL Recognising Textual Entailment Challenge -- Using Bleu-like Algorithms for the Automatic Recognition of Entailment -- What Syntax Can Contribute in the Entailment Task -- Combining Lexical Resources with Tree Edit Distance for Recognizing Textual Entailment -- Textual Entailment Recognition Based on Dependency Analysis and WordNet -- Learning Textual Entailment on a Distance Feature Space -- An Inference Model for Semantic Entailment in Natural Language -- A Lexical Alignment Model for Probabilistic Textual Entailment -- Textual Entailment Recognition Using Inversion Transduction Grammars -- Evaluating Semantic Evaluations: How RTE Measures Up -- Partial Predicate Argument Structure Matching for Entailment Determination -- VENSES A Linguistically-Based System for Semantic Evaluation -- Textual Entailment Recognition Using a LinguisticallyMotivated Decision Tree Classifier -- Recognizing Textual Entailment Via Atomic Propositions -- Recognising Textual Entailment with Robust Logical Inference -- Applying COGEX to Recognize Textual Entailment -- Recognizing Textual Entailment: Is Word Similarity Enough?.

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