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Efficient methods for near-optimal sequential decision making under uncertainty

14 years 3 months ago

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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

posted by olethros

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COLT
2005
Springer

109views Machine Learning» more COLT 2005»

Data Dependent Concentration Bounds for Sequential Prediction Algorithms

13 years 9 months ago

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Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...

Tong Zhang

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ECML
2005
Springer

114views Machine Learning» more ECML 2005»

Multi-view Discriminative Sequential Learning

14 years 1 months ago

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Discriminative learning techniques for sequential data have proven to be more eﬀective than generative models for named entity recognition, information extraction, and other task...

Ulf Brefeld, Christoph Büscher, Tobias Scheff...

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ICML
2007
IEEE

188views Machine Learning» more ICML 2007»

Multi-task learning for sequential data via iHMMs and the nested Dirichlet process

14 years 8 months ago

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A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...

Kai Ni, Lawrence Carin, David B. Dunson

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ASPDAC
2004
ACM

112views Hardware» more ASPDAC 2004»

Efficient reachability checking using sequential SAT

13 years 11 months ago