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» Iterative Learning Control - Monotonicity and Optimization
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130
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INFOCOM
2000
IEEE
15 years 7 months ago
Distributed Power Control and Spreading Gain Allocation in CDMA Data Networks
We study the radio resource allocation problem of distributed joint transmission power control and spreading gain allocation in a DS-CDMA mobile data network. The network consists...
Seong-Jun Oh, Tava Lennon Olsen, Kimberly M. Wasse...
107
Voted
AAAI
2006
15 years 4 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
119
Voted
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 6 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
117
Voted
NIPS
2008
15 years 4 months ago
An Extended Level Method for Efficient Multiple Kernel Learning
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu
131
Voted
ADHOCNOW
2008
Springer
15 years 9 months ago
Utility-Based Uplink Power Control in CDMA Wireless Networks with Real-Time Services
In this paper we address the problem of efficient power allocation in the uplink of CDMA wireless networks, emphasizing on the support of realtime services’ QoS prerequisites. Th...
Timotheos Kastrinogiannis, Eirini-Eleni Tsiropoulo...