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SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
13 years 20 hour ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou
ICASSP
2008
IEEE
14 years 3 months ago
Stream weight tuning in dynamic Bayesian networks
In this paper we present a family of algorithms for estimating stream weights for dynamic Bayesian networks with multiple observation streams. For the 2 stream case, we present a ...
Arthur Kantor, A. Hasegawa-Johnson
AAAI
2011
12 years 9 months ago
CCRank: Parallel Learning to Rank with Cooperative Coevolution
We propose CCRank, the first parallel algorithm for learning to rank, targeting simultaneous improvement in learning accuracy and efficiency. CCRank is based on cooperative coev...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
NIPS
2008
13 years 10 months ago
MDPs with Non-Deterministic Policies
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
Mahdi Milani Fard, Joelle Pineau
CP
2005
Springer
14 years 2 months ago
Search Heuristics and Heavy-Tailed Behaviour
Abstract. The heavy-tailed phenomenon that characterises the runtime distributions of backtrack search procedures has received considerable attention over the past few years. Some ...
Tudor Hulubei, Barry O'Sullivan