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IJCNN
2007
IEEE
13 years 11 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
ICML
2006
IEEE
14 years 6 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel
LION
2007
Springer
192views Optimization» more  LION 2007»
13 years 11 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
ICALP
2004
Springer
13 years 10 months ago
Online Scheduling with Bounded Migration
Consider the classical online scheduling problem where jobs that arrive one by one are assigned to identical parallel machines with the objective of minimizing the makespan. We gen...
Peter Sanders, Naveen Sivadasan, Martin Skutella
JBCS
2002
116views more  JBCS 2002»
13 years 5 months ago
Software Components Retrieval Through Mediators and Web Search
Component Based Development (CBD) aims at constructing software through the integration, using interfaces and contracts, between pre-existing components. The main goal of this wor...
Robson P. de Souza, Marcelo N. Costa, Regina M. M....