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ICGI
2004
Springer
16 years 16 days ago
Learning Stochastic Finite Automata
Abstract. Stochastic deterministic finite automata have been introduced and are used in a variety of settings. We report here a number of results concerning the learnability of th...
Colin de la Higuera, José Oncina
BXML
2003
15 years 8 months ago
Learning to Extract Information for the Semantic Web
Abstract: The goal of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic queryi...
Christian Siefkes
EOR
2011
140views more  EOR 2011»
14 years 10 months ago
Compact bidding languages and supplier selection for markets with economies of scale and scope
Combinatorial auctions have been used in procurement markets with economies of scope. Preference elicitation is already a problem in single-unit combinatorial auctions, but it bec...
Martin Bichler, Stefan Schneider, Kemal Guler, Meh...
ICML
2009
IEEE
16 years 8 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
16 years 1 months ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...