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» Model Selection via Bilevel Optimization
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ICML
2006
IEEE
14 years 8 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp
GLOBECOM
2006
IEEE
14 years 1 months ago
Improvement of WLAN QoS Capability via Statistical Multiplexing
Abstract— This paper presents an analytical model for evaluating the capability of wireless LANs (WLANs) to provision quantitative quality of service (QoS) guarantees. We conside...
Yu Cheng, Lin Cai, Xinhua Ling, Wei Song, Weihua Z...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 1 months ago
System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs
Initial results have been achieved for automatic synthesis of MEMS system-level lumped parameter models using genetic programming and bond graphs. This paper first discusses the ne...
Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenb...
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
13 years 11 months ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
WWW
2008
ACM
13 years 7 months ago
Divide, Compress and Conquer: Querying XML via Partitioned Path-Based Compressed Data Blocks
We propose a novel Partition Path-Based (PPB) grouping strategy to store compressed XML data in a stream of blocks. In addition, we employ a minimal indexing scheme called Block S...
Wilfred Ng, Ho Lam Lau, Aoying Zhou