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» Models for Incomplete and Probabilistic Information
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SIGIR
2005
ACM
15 years 10 months ago
Generic soft pattern models for definitional question answering
This paper explores probabilistic lexico-syntactic pattern matching, also known as soft pattern matching. While previous methods in soft pattern matching are ad hoc in computing t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
AAAI
2007
15 years 7 months ago
Minimal Mental Models
Agents must form and update mental models about each other in a wide range of domains: team coordination, plan recognition, social simulation, user modeling, games of incomplete i...
David V. Pynadath, Stacy Marsella
CIKM
2008
Springer
15 years 6 months ago
A generative retrieval model for structured documents
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...
Le Zhao, Jamie Callan
EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
15 years 10 months ago
Tuning of Algorithms for Independent Task Placement in the Context of Demand-Driven Parallel Ray Tracing
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Tomas Plachetka
CEC
2009
IEEE
15 years 11 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...