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IJCAI
2007
14 years 12 days ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
AAAI
2006
14 years 11 days ago
Planning with First-Order Temporally Extended Goals using Heuristic Search
Temporally extended goals (TEGs) refer to properties that must hold over intermediate and/or final states of a plan. The problem of planning with TEGs is of renewed interest becau...
Jorge A. Baier, Sheila A. McIlraith
AAAI
2006
14 years 11 days ago
An Iterative Algorithm for Solving Constrained Decentralized Markov Decision Processes
Despite the significant progress to extend Markov Decision Processes (MDP) to cooperative multi-agent systems, developing approaches that can deal with realistic problems remains ...
Aurélie Beynier, Abdel-Illah Mouaddib
AIPS
2006
14 years 11 days ago
Planning with Temporally Extended Goals Using Heuristic Search
Temporally extended goals (TEGs) refer to properties that must hold over intermediate and/or final states of a plan. Current planners for TEGs prune the search space during planni...
Jorge A. Baier, Sheila A. McIlraith
CDES
2006
99views Hardware» more  CDES 2006»
14 years 11 days ago
Teraflop Computing for Nanoscience
: Over the last three decades there has been significant progress in the first principles methods for calculating the properties of materials at the quantum level. They have largel...
Yang Wang 0008, G. M. Stocks, Aurelian Rusanu, D. ...