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NIPS
2008
14 years 11 months ago
Clustered Multi-Task Learning: A Convex Formulation
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
Laurent Jacob, Francis Bach, Jean-Philippe Vert
EICS
2010
ACM
14 years 11 months ago
Service discovery supported by task models
We propose an approach that takes as input a task model, which includes the user's view of the interactive system, and automatically discovers a set of categorized and ranked...
Kyriakos Kritikos, Fabio Paternò
ECIR
2009
Springer
14 years 7 months ago
Active Learning Strategies for Multi-Label Text Classification
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Andrea Esuli, Fabrizio Sebastiani
COLT
2010
Springer
14 years 7 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
KES
2008
Springer
14 years 9 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito