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LAMAS
2005
Springer
14 years 1 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
IEEEHPCS
2010
13 years 6 months ago
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
Benjamin Négrevergne, Alexandre Termier, Je...
ICMCS
2009
IEEE
102views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Scalable HMM based inference engine in large vocabulary continuous speech recognition
Parallel scalability allows an application to efficiently utilize an increasing number of processing elements. In this paper we explore a design space for parallel scalability for...
Jike Chong, Kisun You, Youngmin Yi, Ekaterina Goni...
ICAC
2008
IEEE
14 years 2 months ago
Digital Evolution of Behavioral Models for Autonomic Systems
We describe an automated method to generating models of an autonomic system. Specifically, we generate UML state diagrams for a set of interacting objects, including the extensio...
Heather Goldsby, Betty H. C. Cheng, Philip K. McKi...
SIGMETRICS
2002
ACM
142views Hardware» more  SIGMETRICS 2002»
13 years 7 months ago
Exact aggregate solutions for M/G/1-type Markov processes
We introduce a new methodology for the exact analysis of M/G/1-type Markov processes. The methodology uses basic, well-known results for Markov chains by exploiting the structure ...
Alma Riska, Evgenia Smirni