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» Convergence analysis of online algorithms
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NIPS
2008
13 years 10 months ago
Unlabeled data: Now it helps, now it doesn't
Empirical evidence shows that in favorable situations semi-supervised learning (SSL) algorithms can capitalize on the abundance of unlabeled training data to improve the performan...
Aarti Singh, Robert D. Nowak, Xiaojin Zhu
NIPS
2007
13 years 10 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
AAAI
2004
13 years 10 months ago
Spatial Aggregation for Qualitative Assessment of Scientific Computations
Qualitative assessment of scientific computations is an emerging application area that applies a data-driven approach to characterize, at a high level, phenomena including conditi...
Chris Bailey-Kellogg, Naren Ramakrishnan
CORR
2008
Springer
175views Education» more  CORR 2008»
13 years 8 months ago
Energy Aware Self-Organizing Density Management in Wireless Sensor Networks
Energy consumption is the most important factor that determines sensor node lifetime. The optimization of wireless sensor network lifetime targets not only the reduction of energy...
Erwan Le Merrer, Vincent Gramoli, Anne-Marie Kerma...
AUTOMATICA
2006
92views more  AUTOMATICA 2006»
13 years 8 months ago
A speed-sensorless indirect field-oriented control for induction motors based on high gain speed estimation
The authors design a new speed sensorless output feedback control for the full-order model of induction motors with unknown constant load torque, which guarantees local asymptotic...
Marcello Montanari, Sergei Peresada, Andrea Tilli