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ICGA
2006
312views Optimization» more  ICGA 2006»
16 years 10 months ago
New Approximate Strategies for Playing Sum Games based on Subgame Types
In this work we investigate the potential of combining AI tree-search algorithms with the algorithms of combinatorial game theory to provide more efficient strategies for playing s...
Manal Zaky, Cherif Salama, Salma Ghoneim
WSC
2001
14 years 11 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
NPL
2006
100views more  NPL 2006»
14 years 9 months ago
Constrained Projection Approximation Algorithms for Principal Component Analysis
Abstract. In this paper we introduce a new error measure, integrated reconstruction error (IRE) and show that the minimization of IRE leads to principal eigenvectors (without rotat...
Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
PG
2007
IEEE
15 years 4 months ago
Real-Time Approximate Subsurface Scattering on Graphics Hardware
This paper presents an image-space approximation technique for real-time subsurface scattering. We first create transmitted irradiance samples on shadow maps and then estimate si...
Hyunwoo Ki, Jihye Lyu, Kyoungsu Oh
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...