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» On the Complexity of Exclusion Algorithms for Optimization
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ACL
2006
15 years 3 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
NIPS
2003
15 years 2 months ago
Probabilistic Inference of Speech Signals from Phaseless Spectrograms
Many techniques for complex speech processing such as denoising and deconvolution, time/frequency warping, multiple speaker separation, and multiple microphone analysis operate on...
Kannan Achan, Sam T. Roweis, Brendan J. Frey
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 2 months ago
A study of NK landscapes' basins and local optima networks
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces [5]. We use the well-known fami...
Gabriela Ochoa, Marco Tomassini, Sébastien ...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 2 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
132
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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 1 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw