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NIPS
2008
13 years 9 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
ACL
2006
13 years 9 months ago
On2L - A Framework for Incremental Ontology Learning in Spoken Dialog Systems
An open-domain spoken dialog system has to deal with the challenge of lacking lexical as well as conceptual knowledge. As the real world is constantly changing, it is not possible...
Berenike Loos
AOIS
2003
13 years 9 months ago
Agent-Based Support for Mobile Users Using AgentSpeak(L)
Abstract. This paper describes AbIMA, an agent-based intelligent mobile assistant for supporting users prior to and during the execution of their tasks. The agent is based on the w...
Talal Rahwan, Tarek Rahwan, Iyad Rahwan, Ronald As...
JCST
2008
85views more  JCST 2008»
13 years 7 months ago
A General Approach to L ( h, k )-Label Interconnection Networks
d Abstract) Tiziana Calamoneri 1 , Saverio Caminiti 2 , and Rossella Petreschi 3 Dipartimento di Informatica Universit`a degli Studi di Roma "La Sapienza" Via Salaria 113...
Tiziana Calamoneri, Saverio Caminiti, Rossella Pet...
SIAMSC
2010
161views more  SIAMSC 2010»
13 years 6 months ago
Surface Reconstruction and Image Enhancement via L1-Minimization
A surface reconstruction technique based on minimization of the total variation of the gradient is introduced. Convergence of the method is established, and an interior-point algor...
Veselin Dobrev, Jean-Luc Guermond, Bojan Popov