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ICML
2009
IEEE
16 years 4 months ago
Learning structural SVMs with latent variables
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
Chun-Nam John Yu, Thorsten Joachims
ICML
2003
IEEE
16 years 4 months ago
Stochastic Local Search in k-Term DNF Learning
A novel native stochastic local search algorithm for solving k-term DNF problems is presented. It is evaluated on hard k-term DNF problems that lie on the phase transition and com...
Stefan Kramer, Ulrich Rückert
142
Voted
FCCM
2005
IEEE
124views VLSI» more  FCCM 2005»
15 years 9 months ago
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani,...
129
Voted
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
101
Voted
GECCO
2005
Springer
15 years 9 months ago
Interactive estimation of agent-based financial markets models: modularity and learning
Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting t...
M. Ihsan Ecemis, Eric Bonabeau, Trent Ashburn