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AAAI
1997
15 years 8 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
UAI
2000
15 years 8 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
DAC
2007
ACM
16 years 7 months ago
Parameterized Macromodeling for Analog System-Level Design Exploration
In this paper we propose a novel parameterized macromodeling technique for analog circuits. Unlike traditional macromodels that are only extracted for a small variation space, our...
Jian Wang, Xin Li, Lawrence T. Pileggi
ATAL
2005
Springer
16 years 9 days ago
Law-governed Linda as a semantics for agent dialogue protocols
Tuple spaces and the associated Linda language are a popular model for distributed computation, and Law-Governed Linda (LGL) is a variant allowing processes to have differential ...
Sylvie Doutre, Peter McBurney, Michael Wooldridge
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 10 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...