Abstract is missing.
- Evaluating Predictive Uncertainty ChallengeJoaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf. 1-27 [doi]
- Classification with Bayesian Neural NetworksRadford M. Neal. 28-32 [doi]
- A Pragmatic Bayesian Approach to Predictive UncertaintyIain Murray, Edward Snelson. 33-40 [doi]
- Many Are Better Than One: Improving Probabilistic Estimates from Decision TreesNitesh V. Chawla. 41-55 [doi]
- Estimating Predictive Variances with Kernel Ridge RegressionGavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle. 56-77 [doi]
- Competitive Associative Nets and Cross-Validation for Estimating Predictive Uncertainty on Regression ProblemsShuichi Kurogi, Miho Sawa, Shinya Tanaka. 78-94 [doi]
- Lessons Learned in the Challenge: Making Predictions and Scoring ThemJukka Kohonen, Jukka Suomela. 95-116 [doi]
- The 2005 PASCAL Visual Object Classes ChallengeMark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang. 117-176 [doi]
- The PASCAL Recognising Textual Entailment ChallengeIdo Dagan, Oren Glickman, Bernardo Magnini. 177-190 [doi]
- Using Bleu-like Algorithms for the Automatic Recognition of EntailmentDiana Pérez, Enrique Alfonseca. 191-204 [doi]
- What Syntax Can Contribute in the Entailment TaskLucy Vanderwende, William B. Dolan. 205-216 [doi]
- Combining Lexical Resources with Tree Edit Distance for Recognizing Textual EntailmentMilen Kouylekov, Bernardo Magnini. 217-230 [doi]
- Textual Entailment Recognition Based on Dependency Analysis and ::::WordNet::::Jesús Herrera, Anselmo Peñas, Felisa Verdejo. 231-239 [doi]
- Learning Textual Entailment on a Distance Feature SpaceMaria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto. 240-260 [doi]
- An Inference Model for Semantic Entailment in Natural LanguageRodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons. 261-286 [doi]
- A Lexical Alignment Model for Probabilistic Textual EntailmentOren Glickman, Ido Dagan, Moshe Koppel. 287-298 [doi]
- Textual Entailment Recognition Using Inversion Transduction GrammarsDekai Wu. 299-308 [doi]
- Evaluating Semantic Evaluations: How RTE Measures UpSamuel Bayer, John D. Burger, Lisa Ferro, John C. Henderson, Lynette Hirschman, Alexander S. Yeh. 309-331 [doi]
- Partial Predicate Argument Structure Matching for Entailment DeterminationAlina Andreevskaia, Zhuoyan Li, Sabine Bergler. 332-343 [doi]
- VENSES - A Linguistically-Based System for Semantic EvaluationRodolfo Delmonte, Sara Tonelli, Marco Aldo Piccolino Boniforti, Antonella Bristot. 344-371 [doi]
- Textual Entailment Recognition Using a Linguistically-Motivated Decision Tree ClassifierEamonn Newman, Nicola Stokes, John Dunnion, Joe Carthy. 372-384 [doi]
- Recognizing Textual Entailment Via Atomic PropositionsElena Akhmatova, Diego Mollá. 385-403 [doi]
- Recognising Textual Entailment with Robust Logical InferenceJohan Bos, Katja Markert. 404-426 [doi]
- Applying COGEX to Recognize Textual EntailmentDaniel Hodges, Christine Clark, Abraham Fowler, Dan I. Moldovan. 427-448 [doi]
- Recognizing Textual Entailment: Is Word Similarity Enough?Valentin Jijkoun, Maarten de Rijke. 449-460 [doi]