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ICML
2004
IEEE
15 years 10 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
KBSE
1999
IEEE
15 years 2 months ago
Advanced Modelling and Verification Techniques Applied to a Cluster File System
This paper describes the application of advanced formal modelling techniques and tools from the CADP toolset to the verification of CFS, a distributed file system kernel. After a ...
Charles Pecheur
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
15 years 7 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
ICDE
2001
IEEE
206views Database» more  ICDE 2001»
15 years 11 months ago
Cache-Aware Query Routing in a Cluster of Databases
We investigate query routing techniques in a cluster of databases for a query-dominant environment. The objective is to decrease query response time. Each component of the cluster...
Uwe Röhm, Klemens Böhm, Hans-Jörg S...