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» The Use of Classifiers in Sequential Inference
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MVA
1996
102views Computer Vision» more  MVA 1996»
13 years 10 months ago
Real-Time Recognition of Signaling Lights in Road Traffic
A method for recognizing signal lights in traffic scenes in real time has been developed. It consists of a set of different feature extraction operations acting as sequential filt...
Lampros Tsinas, Volker Graefe
JMLR
2010
169views more  JMLR 2010»
13 years 3 months ago
Consensus-Based Distributed Support Vector Machines
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
ECML
2004
Springer
14 years 2 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
ICMI
2003
Springer
128views Biometrics» more  ICMI 2003»
14 years 2 months ago
Modeling multimodal integration patterns and performance in seniors: toward adaptive processing of individual differences
Multimodal interfaces are designed with a focus on flexibility, although very few currently are capable of adapting to major sources of user, task, or environmental variation. The...
Benfang Xiao, Rebecca Lunsford, Rachel Coulston, R...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 10 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider