Sciweavers

AAAI
2007
14 years 1 months ago
A Kernel Approach to Comparing Distributions
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a Reprod...
Arthur Gretton, Karsten M. Borgwardt, Malte J. Ras...
AAAI
2008
14 years 1 months ago
Incremental Algorithms for Approximate Compilation
Compilation is an important approach to a range of inference problems, since it enables linear-time inference in the size S of the compiled representation. However, the main drawb...
Alberto Venturini, Gregory M. Provan
AAAI
2007
14 years 1 months ago
Efficient Datalog Abduction through Bounded Treewidth
Georg Gottlob, Reinhard Pichler, Fang Wei
AAAI
2008
14 years 1 months ago
Semantical Considerations on Dialectical and Practical Commitments
This paper studies commitments in multiagent systems. A dialectical commitment corresponds to an agent taking a position about a putative fact, including for the sake of argument....
Munindar P. Singh
AAAI
2007
14 years 1 months ago
The Marchitecture: A Cognitive Architecture for a Robot Baby
The Marchitecture is a cognitive architecture for autonomous development of representations. The goals of The Marchitecture are domain independence, operating in the absence of kn...
Marc Pickett, Tim Oates
AAAI
2008
14 years 1 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
AAAI
2007
14 years 1 months ago
Multi-Objective Russian Doll Search
Russian Doll Search (RDS) is a well-known algorithm for combinatorial optimization. In this paper we extend it from mono-objective to multi-objective optimization. We demonstrate ...
Emma Rollon, Javier Larrosa
AAAI
2007
14 years 1 months ago
Representation Transfer via Elaboration
Matthew E. Taylor, Peter Stone
AAAI
2008
14 years 1 months ago
An Unsupervised Approach for Product Record Normalization across Different Web Sites
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
Tak-Lam Wong, Tik-Shun Wong, Wai Lam