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Note: Links lead to the DBLP on the Web. Cyril Goutte Stéphane Clinchant , Cyril Goutte, Éric Gaussier : Lexical Entailment for Information Retrieval. ECIR 2006 : 217-228 Cyril Goutte, Éric Gaussier : A Probabilistic Interpretation of Precision, Recall and F -Score, with Implication for Evaluation. ECIR 2005 : 345-359 Éric Gaussier , Cyril Goutte: Relation between PLSA and NMF and implications. SIGIR 2005 : 601-602 Cyril Goutte, Kenji Yamada , Éric Gaussier : Aligning words using matrix factorisation. ACL 2004 : 502-509 Éric Gaussier , Jean-Michel Renders , Irina Matveeva , Cyril Goutte, Hervé Déjean : A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora. ACL 2004 : 526-533 Cyril Goutte, Pavel B. Dobrokhotov , Éric Gaussier , Anne-Lise Veuthey : Corpus-Based vs. Model-Based Selection of Relevant Features. CORIA 2004 : 75-88 Pavel B. Dobrokhotov , Cyril Goutte, Anne-Lise Veuthey , Éric Gaussier : Combining NLP and probabilistic categorisation for document and term selection for Swiss-Prot medical annotation. ISMB (Supplement of Bioinformatics) 2003 : 91-94 Nicola Cancedda , Éric Gaussier , Cyril Goutte, Jean-Michel Renders : Word-Sequence Kernels. Journal of Machine Learning Research 3 : 1059-1082 (2003) Éric Gaussier , Cyril Goutte, Kris Popat , Francine Chen : A Hierarchical Model for Clustering and Categorising Documents. ECIR 2002 : 229-247 Nicola Cancedda , Cyril Goutte, Jean-Michel Renders , Nicolò Cesa-Bianchi , Alex Conconi , Yaoyong Li , John Shawe-Taylor , Alexei Vinokourov , Thore Graepel , Claudio Gentile : Kernel Methods for Document Filtering. TREC 2002 Cyril Goutte, Finn Årup Nielsen , Lars Kai Hansen : Modelling the Haemodynamic Response in fMRI with Smooth FIR Filters. IEEE Trans. Med. Imaging 19 (12): 1188-1201 (2000) Cyril Goutte: Behaviour in 0 of the Neural Networks Training Cost. Neural Processing Letters 8 (2): 107-116 (1998) Cyril Goutte: Note on Free Lunches and Cross-validation. Neural Computation 9 (6): 1245-1249 (1997) Cyril Goutte, Lars Kai Hansen : Regularization with a Pruning Prior. Neural Networks 10 (6): 1053-1059 (1997) 1 [ 5 ] [ 7 ] 2 [ 5 ] 3 [ 6 ] 4 [ 14 ] 5 [ 5 ] 6 [ 10 ] 7 [ 8 ] [ 9 ] 8 [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] 9 [ 5 ] 10 [ 5 ] 11 [ 1 ] [ 4 ] 12 [ 5 ] 13 [ 10 ] 14 [ 4 ] 15 [ 6 ] 16 [ 5 ] [ 7 ] [ 10 ] 17 [ 5 ] 18 [ 8 ] [ 9 ] 19 [ 5 ] 20 [ 11 ] ![]() ©2006 Association for Computing Machinery |