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» Sweeping with Continuous Domains
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97
Voted
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 5 months ago
Application of a simple binary genetic algorithm to a noiseless testbed benchmark
One of the earliest evolutionary computation algorithms, the genetic algorithm, is applied to the noise-free BBOB 2009 testbed. It is adapted to the continuous domain by increasin...
Miguel Nicolau
89
Voted
UAI
2008
15 years 2 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
83
Voted
NIPS
2003
15 years 1 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
90
Voted
AAAI
1994
15 years 1 months ago
Testing Physical Systems
We present a formal theory of model-based testing, an algorithm for test generation based on it, and outline how testing is implemented by a diagnostic engine. The key to making t...
Peter Struss
70
Voted
NIPS
1996
15 years 1 months ago
A Micropower Analog VLSI HMM State Decoder for Wordspotting
We describe the implementation of a hidden Markov model state decoding system, a component for a wordspotting speech recognition system. The key specification for this state decod...
John Lazzaro, John Wawrzynek, Richard Lippmann