Sciweavers

AAAI
2008
14 years 16 hour ago
Zero-data Learning of New Tasks
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
AAAI
2007
14 years 16 hour ago
Propagating Knapsack Constraints in Sublinear Time
We develop an efficient incremental version of an existing cost-based filtering algorithm for the knapsack constraint. On a universe of n elements, m invocations of the algorith...
Irit Katriel, Meinolf Sellmann, Eli Upfal, Pascal ...
AAAI
2007
14 years 16 hour ago
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization
A new spectral approach to value function approximation has recently been proposed to automatically construct basis functions from samples. Global basis functions called proto-val...
Jeffrey Johns, Sridhar Mahadevan, Chang Wang
AAAI
2007
14 years 16 hour ago
Mutual Belief Revision: Semantics and Computation
This paper presents both a semantic and a computational model for multi-agent belief revision. We show that these two models are equivalent but serve different purposes. The seman...
Yi Jin, Michael Thielscher, Dongmo Zhang
AAAI
2007
14 years 16 hour ago
Point-Based Policy Iteration
We describe a point-based policy iteration (PBPI) algorithm for infinite-horizon POMDPs. PBPI replaces the exact policy improvement step of Hansen’s policy iteration with point...
Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawre...
AAAI
2008
14 years 16 hour ago
Lifted Probabilistic Inference with Counting Formulas
Lifted inference algorithms exploit repeated structure in probabilistic models to answer queries efficiently. Previous work such as de Salvo Braz et al.'s first-order variabl...
Brian Milch, Luke S. Zettlemoyer, Kristian Kerstin...
AAAI
2007
14 years 16 hour ago
MasDISPO: A Multiagent Decision Support System for Steel Production and Control
In the majority of cases, steel production constitutes the inception of the Supply Chains they are involved just as in automotive clusters or aerospace. Steel manufacturing compan...
Sven Jacobi, Esteban León-Soto, Cristi&aacu...
AAAI
2008
14 years 16 hour ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
AAAI
2007
14 years 16 hour ago
Near-Optimal Search in Continuous Domains
Samuel Ieong, Nicolas S. Lambert, Yoav Shoham, Ron...