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ICML
2006
IEEE
16 years 4 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
132
Voted
ICML
2003
IEEE
16 years 4 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
WWW
2009
ACM
16 years 4 months ago
Bucefalo: a tool for intelligent search and filtering for web-based personal health records
In this poster, a tool named BUCEFALO is presented. This tool is specially designed to improve the information retrieval tasks in web-based Personal Health Records (PHR). This too...
Francisco P. Romero, Jesús Serrano-Guerrero...
CP
2009
Springer
16 years 4 months ago
Approximating Weighted Max-SAT Problems by Compensating for Relaxations
We introduce a new approach to approximating weighted Max-SAT problems that is based on simplifying a given instance, and then tightening the approximation. First, we relax its str...
Arthur Choi, Trevor Standley, Adnan Darwiche
CHI
2008
ACM
16 years 4 months ago
Mind your p's and q's: when politeness helps and hurts in online communities
Little is known about the impact of politeness in online communities. This project combines deductive and inductive approaches to automatically model linguistic politeness in onli...
Moira Burke, Robert Kraut