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ICML
2005
IEEE
14 years 8 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
SIAMCOMP
2010
94views more  SIAMCOMP 2010»
13 years 6 months ago
Local Monotonicity Reconstruction
We propose a general model of local property reconstruction. Suppose we have a function f on domain Γ, which is supposed to have a particular property P, but may not have the pro...
Michael E. Saks, C. Seshadhri
PAMI
2008
270views more  PAMI 2008»
13 years 7 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
COGSCI
2007
139views more  COGSCI 2007»
13 years 7 months ago
Mapping the Color Space of Saccadic Selectivity in Visual Search
Color coding is used to guide attention in computer displays for such critical tasks as baggage screening or air traffic control. It has been shown that a display object attracts...
Yun Xu, Emily C. Higgins, Mei Xiao, Marc Pomplun
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 6 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux