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111
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ICML
2009
IEEE
16 years 1 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 8 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
AIPS
2000
15 years 1 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
103
Voted
ICC
2007
IEEE
108views Communications» more  ICC 2007»
15 years 6 months ago
A Novel Multiple Description Scalable Speech Codec Based on Sinusoidal Model
—Robust and flexible speech codecs are required more and more by speech communication over unreliable and heterogeneous channels such as the internet. In this paper, a novel mult...
Yue Lang, Shenghui Zhao, Jingming Kuang
108
Voted
MASCOTS
2010
15 years 1 months ago
Modeling the Run-time Behavior of Transactional Memory
In this paper, we develop a queuing theory based analytical model to evaluate the performance of transactional memory. Based on the statistical characteristics observed on actual e...
Zhengyu He, Bo Hong