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DAGSTUHL
2008
13 years 10 months ago
Interactive Multiobjective Optimization Using a Set of Additive Value Functions
Abstract. In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built...
José Rui Figueira, Salvatore Greco, Vincent...
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
13 years 10 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi
IPCO
2007
108views Optimization» more  IPCO 2007»
13 years 10 months ago
Robust Combinatorial Optimization with Exponential Scenarios
Following the well-studied two-stage optimization framework for stochastic optimization [15, 18], we study approximation algorithms for robust two-stage optimization problems with ...
Uriel Feige, Kamal Jain, Mohammad Mahdian, Vahab S...
ATAL
2010
Springer
13 years 10 months ago
Modeling recursive reasoning by humans using empirically informed interactive POMDPs
Recursive reasoning of the form what do I think that you think that I think (and so on) arises often while acting rationally in multiagent settings. Several multiagent decision-ma...
Prashant Doshi, Xia Qu, Adam Goodie, Diana Young
ATAL
2010
Springer
13 years 9 months ago
Avoiding the prisoner's dilemma in auction-based negotiations for highly rugged utility spaces
There is a number of recent research lines addressing complex negotiations in highly rugged utility spaces. However, most of them focus on overcoming the problems imposed by the c...
Ivan Marsá-Maestre, Miguel A. López-...