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ICMLA
2004
15 years 7 months ago
Reducing complexity of rule based models via meta mining
Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
Lukasz A. Kurgan
NIPS
2000
15 years 7 months ago
High-temperature Expansions for Learning Models of Nonnegative Data
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
Oliver B. Downs
162
Voted
WSC
1997
15 years 7 months ago
A Framework for Performance Analysis of Parallel Discrete Event Simulators
A framework for performance analysis of parallel discrete event simulators is presented. The centerpiece of this framework is a platform-independent Workload Specification Langua...
Vijay Balakrishnan, Peter Frey, Nael B. Abu-Ghazal...
TEC
2008
165views more  TEC 2008»
15 years 6 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
TVLSI
2008
119views more  TVLSI 2008»
15 years 6 months ago
Automatic Design of Reconfigurable Domain-Specific Flexible Cores
Reconfigurable hardware is ideal for use in Systems-on-a-Chip, as it provides both hardware-level performance and post-fabrication flexibility. However, any one architecture is ra...
Katherine Compton, Scott Hauck