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» Generalization Error Bounds Using Unlabeled Data
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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 8 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
COLT
2004
Springer
14 years 1 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
EMNLP
2009
13 years 6 months ago
Predicting Subjectivity in Multimodal Conversations
In this research we aim to detect subjective sentences in multimodal conversations. We introduce a novel technique wherein subjective patterns are learned from both labeled and un...
Gabriel Murray, Giuseppe Carenini
GLOBECOM
2007
IEEE
14 years 2 months ago
A Technique to Enhance Localization in the Presence of NLOS Errors
— In a wireless network (WN), the wireless devices generally localize themselves with the help of anchors that are pre-deployed in the network. Some of the techniques commonly us...
Satyajayant Misra, Weiyi Zhang, Guoliang Xue
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 9 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee