Sciweavers

AAAI
2008
13 years 12 months ago
Hypothesis Pruning and Ranking for Large Plan Recognition Problems
This paper addresses the problem of plan recognition for multi-agent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. ...
Gita Sukthankar, Katia P. Sycara
AAAI
2007
13 years 12 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
AAAI
2008
13 years 12 months ago
A Reductive Semantics for Counting and Choice in Answer Set Programming
In a recent paper, Ferraris, Lee and Lifschitz conjectured that the concept of a stable model of a first-order formula can be used to treat some answer set programming expressions...
Joohyung Lee, Vladimir Lifschitz, Ravi Palla
AAAI
2008
13 years 12 months ago
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
Minmin Chen, Yixin Chen, Michael R. Brent
AAAI
2007
13 years 12 months ago
A Modal Logic for Beliefs and Pro Attitudes
Agents’ pro attitudes such as goals, intentions, desires, wishes, and judgements of satisfactoriness play an important role in how agents act rationally. To provide a natural an...
Kaile Su, Abdul Sattar, Han Lin, Mark Reynolds
AAAI
2008
13 years 12 months ago
Exploiting Causal Independence Using Weighted Model Counting
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...
Wei Li 0002, Pascal Poupart, Peter van Beek
AAAI
2008
13 years 12 months ago
Computing Minimal Diagnoses by Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
AAAI
2007
13 years 12 months ago
Active Algorithm Selection
Feilong Chen, Rong Jin