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FOCS
2010
IEEE
15 years 4 months ago
Learning Convex Concepts from Gaussian Distributions with PCA
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
Santosh Vempala
JUCS
2008
104views more  JUCS 2008»
15 years 6 months ago
Optimal Transit Price Negotiation: The Distributed Learning Perspective
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...
Dominique Barth, Loubna Echabbi, Chahinez Hamlaoui
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 11 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
SAB
2010
Springer
226views Optimization» more  SAB 2010»
15 years 5 months ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...

Publication
352views
16 years 2 months ago
Efficient methods for near-optimal sequential decision making under uncertainty
This chapter discusses decision making under uncertainty. More specifically, it offers an overview of efficient Bayesian and distribution-free algorithms for making near-optimal se...
Christos Dimitrakakis