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ICMLA
2010
14 years 7 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
88
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ICML
2005
IEEE
15 years 10 months ago
Learning Gaussian processes from multiple tasks
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Kai Yu, Volker Tresp, Anton Schwaighofer

Publication
233views
13 years 8 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Mining Relationship Between Video Concepts using Probabilistic Graphical Models
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
Rong Yan, Ming-yu Chen, Alexander G. Hauptmann
HCI
2007
14 years 11 months ago
Modeling Content and Expression of Learning Objects in Multimodal Learning Management Systems
The paper discusses the relation between accessibility and multimodality of learning objects. I present a framework, rooted in linguistics, that supports a clear distinction betwee...
Giorgio Brajnik