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ICML
2009
IEEE
16 years 1 months ago
Bandit-based optimization on graphs with application to library performance tuning
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
Arpad Rimmel, Frédéric de Mesmay, Ma...
87
Voted
ICML
1997
IEEE
16 years 1 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
70
Voted
DATE
2009
IEEE
105views Hardware» more  DATE 2009»
15 years 7 months ago
Enrichment of limited training sets in machine-learning-based analog/RF test
Abstract— This paper discusses the generation of informationrich, arbitrarily-large synthetic data sets which can be used to (a) efficiently learn tests that correlate a set of ...
Haralampos-G. D. Stratigopoulos, Salvador Mir, Yio...
IROS
2009
IEEE
139views Robotics» more  IROS 2009»
15 years 7 months ago
Improving robot navigation in structured outdoor environments by identifying vegetation from laser data
— This paper addresses the problem of vegetation detection from laser measurements. The ability to detect vegetation is important for robots operating outdoors, since it enables ...
Kai M. Wurm, Rainer Kümmerle, Cyrill Stachnis...
IJCNN
2008
IEEE
15 years 6 months ago
Shedding weights: More with less
—Traditional connectionist classification models place an emphasis on learned synaptic weights. Based on neurobiological evidence, a new approach is developed and experimentally ...
Tsvi Achler, Cyrus Omar, Eyal Amir