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» Modular Complexity Analysis via Relative Complexity
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ICML
2007
IEEE
14 years 9 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
SMI
2010
IEEE
152views Image Analysis» more  SMI 2010»
13 years 7 months ago
Direct-Product Volumetric Parameterization of Handlebodies via Harmonic Fields
—Volumetric parameterization plays an important role for geometric modeling. Due to the complicated topological nature of volumes, it is much more challenging than the surface ca...
Jiazhi Xia, Ying He 0001, Xiaotian Yin, Shuchu Han...
JCB
2007
191views more  JCB 2007»
13 years 9 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
AI
1999
Springer
13 years 8 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
BMCBI
2005
97views more  BMCBI 2005»
13 years 9 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney