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AIPS
2007
15 years 6 months ago
Discovering Relational Domain Features for Probabilistic Planning
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
Jia-Hong Wu, Robert Givan
AAAI
2010
15 years 5 months ago
Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection
The AI community has achieved great success in designing high-performance algorithms for hard combinatorial problems, given both considerable domain knowledge and considerable eff...
Lin Xu, Holger Hoos, Kevin Leyton-Brown
AAAI
2006
15 years 5 months ago
The Keystone Scavenger Team
Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatl...
Jacky Baltes, John Anderson
AIPS
2004
15 years 5 months ago
Price Prediction Strategies for Market-Based Scheduling
In a market-based scheduling mechanism, the allocation of time-specific resources to tasks is governed by a competitive bidding process. Agents bidding for multiple, separately al...
Jeffrey K. MacKie-Mason, Anna Osepayshvili, Daniel...
AAAI
2010
15 years 4 months ago
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
Fabian Buchwald, Tobias Girschick, Eibe Frank, Ste...