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STACS
1999
Springer
13 years 12 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
HUC
1999
Springer
13 years 12 months ago
The Children's Machines: Handheld and Wearable Computers Too
In this paper we describe the material of a construction kit designed to allow children to build their own handheld and wearable devices to meet their interests and passions. Child...
Bakhtiar Mikhak, Fred Martin, Mitchel Resnick, Rob...
PR
2007
104views more  PR 2007»
13 years 7 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
AGI
2008
13 years 9 months ago
Cognitive Primitives for Automated Learning
Artificial Intelligence deals with the automated simulation of human intelligent behavior. Various aspects of human faculties are tackled using computational models. It is clear th...
Sudharsan Iyengar
ICML
2009
IEEE
14 years 8 months ago
Piecewise-stationary bandit problems with side observations
We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distributions are unknown and may c...
Jia Yuan Yu, Shie Mannor