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» Structural Modelling with Sparse Kernels
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ICDM
2005
IEEE
109views Data Mining» more  ICDM 2005»
15 years 3 months ago
Triple Jump Acceleration for the EM Algorithm
This paper presents the triple jump framework for accelerating the EM algorithm and other bound optimization methods. The idea is to extrapolate the third search point based on th...
Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu
CAGD
2008
109views more  CAGD 2008»
14 years 10 months ago
Detail preserving deformation of B-spline surfaces with volume constraint
Geometric constraints have proved to be helpful for shape modeling. Moreover, they are efficient aids in controlling deformations and enhancing animation realism. The present pape...
Basile Sauvage, Stefanie Hahmann, Georges-Pierre B...
ICAI
2009
14 years 7 months ago
On the Construction of Initial Basis Function for Efficient Value Function Approximation
- We address the issues of improving the feature generation methods for the value-function approximation and the state space approximation. We focus the improvement of feature gene...
Chung-Cheng Chiu, Kuan-Ta Chen
NIPS
2003
14 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
SMA
2009
ACM
137views Solid Modeling» more  SMA 2009»
15 years 4 months ago
Hierarchical molecular interfaces and solvation electrostatics
Electrostatic interactions play a significant role in determining the binding affinity of molecules and drugs. While significant effort has been devoted to the accurate computat...
Chandrajit L. Bajaj, Shun-Chuan Albert Chen, Guoli...