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» Learning with Weighted Transducers
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CVPR
2007
IEEE
14 years 11 months ago
Online Learning Asymmetric Boosted Classifiers for Object Detection
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
Minh-Tri Pham, Tat-Jen Cham
ICRA
2008
IEEE
169views Robotics» more  ICRA 2008»
14 years 3 months ago
Sparse incremental learning for interactive robot control policy estimation
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
Daniel H. Grollman, Odest Chadwicke Jenkins
CAI
2007
Springer
14 years 3 months ago
Learning Deterministically Recognizable Tree Series - Revisited
Abstract. We generalize a learning algorithm originally devised for deterministic all-accepting weighted tree automata (wta) to the setting of arbitrary deterministic wta. The lear...
Andreas Maletti
NIPS
2003
13 years 10 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
SIGIR
2005
ACM
14 years 2 months ago
Iterative translation disambiguation for cross-language information retrieval
Finding a proper distribution of translation probabilities is one of the most important factors impacting the effectiveness of a crosslanguage information retrieval system. In th...
Christof Monz, Bonnie J. Dorr