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» On the Convergence of Boosting Procedures
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VTC
2007
IEEE
14 years 3 months ago
Q-Learning-based Hybrid ARQ for High Speed Downlink Packet Access in UMTS
Abstract-In this paper, a Q-learning-based hybrid automatic repeat request (Q-HARQ) scheme is proposed to achieve efficient resource utilization for high speed downlink packet acc...
Chung-Ju Chang, Chia-Yuan Chang, Fang-Ching Ren
COLT
2007
Springer
14 years 2 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
ICA
2007
Springer
14 years 2 months ago
Pivot Selection Strategies in Jacobi Joint Block-Diagonalization
A common problem in independent component analysis after prewhitening is to optimize some contrast on the orthogonal or unitary group. A popular approach is to optimize the contras...
Cédric Févotte, Fabian J. Theis
IAT
2006
IEEE
14 years 2 months ago
An Approximate Algorithm for Resource Allocation Using Combinatorial Auctions
Combinatorial Auctions (CAs), where users bid on combination of items, have emerged as a useful tool for resource allocation in distributed systems. However, two main difficulties...
Viswanath Avasarala, Himanshu Polavarapu, Tracy Mu...
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 2 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung