Titlebook: Machine Learning: ECML 2006; 17th European Confer Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoul Conference proceedings 2006 Springer-V

micturition

Pertinent Background Knowledge for Learning Protein Grammarss and background knowledge predicates. This work is a first step in optimising the choice of background knowledge predicates for predicting the function of proteins. We propose methods to obtain different sets of background knowledge. We then study the impact of these sets on inference results throu

cochlea

FANG

Accede

Gustatory

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calamity

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胎兒

exceptional

A Discriminative Approach for the Retrieval of Images from Text Queries model: the parameters are selected in order to minimize a loss related to the ranking performance of the model, i.e. its ability to rank the relevant pictures above the non-relevant ones when given a text query. In order to minimize this loss, we introduce an adaptation of the recently proposed . a