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JMLR
2010
172views more  JMLR 2010»
14 years 6 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....
ICASSP
2011
IEEE
14 years 3 months ago
Gammatone sub-band magnitude-domain dereverberation for ASR
We present an algorithm for dereverberation of speech signals for automatic speech recognition (ASR) applications. Often ASR systems are presented with speech that has been record...
Kshitiz Kumar, Rita Singh, Bhiksha Raj, Richard M....
AAAI
2011
13 years 11 months ago
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
Brian Coltin, Manuela M. Veloso
FUIN
2008
108views more  FUIN 2008»
14 years 10 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
13 years 2 months ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...