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NIPS
2008
15 years 7 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
NIPS
2008
15 years 7 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
SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
15 years 7 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu
NETWORKING
2007
15 years 7 months ago
Construction of a Proxy-Based Overlay Skeleton Tree for Large-Scale Real-Time Group Communications
Abstract. We consider the problem of constructing a proxy-based overlay skeleton tree (POST) in the backbone service domain of a two-tier overlay multicast infrastructure. Spanning...
Jun Guo, Sanjay Jha
NETWORKING
2007
15 years 7 months ago
Interference-Aware Multicasting in Wireless Mesh Networks
Multicasting is one of the most important applications in Wireless Ad hoc Networks and the currently emerging Wireless Mesh Networks. In such networks, interference due to the shar...
Sudheendra Murthy, Abhishek Goswami, Arunabha Sen
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