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» Algorithms for Index-Assisted Selectivity Estimation
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JMLR
2010
118views more  JMLR 2010»
14 years 7 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot
IJKESDP
2010
94views more  IJKESDP 2010»
14 years 9 months ago
Rule acquisition for cognitive agents by using estimation of distribution algorithms
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent ...
Tokue Nishimura, Hisashi Handa
ICASSP
2010
IEEE
15 years 18 days ago
A comparison of approximate Viterbi techniques and particle filtering for data estimation in digital communications
We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
Steffen Barembruch
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
15 years 6 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
CIAC
2006
Springer
84views Algorithms» more  CIAC 2006»
15 years 4 months ago
In-Place Randomized Slope Selection
Slope selection is a well-known algorithmic tool used in the context of computing robust estimators for fitting a line to a collection P of n points in the plane. We demonstrate th...
Henrik Blunck, Jan Vahrenhold