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NIPS
1994
14 years 11 months ago
Generalization in Reinforcement Learning: Safely Approximating the Value Function
To appear in: G. Tesauro, D. S. Touretzky and T. K. Leen, eds., Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995. A straightforward approach to t...
Justin A. Boyan, Andrew W. Moore
HICSS
2006
IEEE
130views Biometrics» more  HICSS 2006»
15 years 3 months ago
Governance of the IT Function: Valuing Agility and Quality of Training, Cooperation and Communications
It has long been argued that the organizational structure and reporting relationships of the IT functional area profoundly affects organizational performance. However, since most ...
Felipe Csaszar, Eric K. Clemons
ISMVL
2000
IEEE
120views Hardware» more  ISMVL 2000»
15 years 2 months ago
Mod-p Decision Diagrams: A Data Structure for Multiple-Valued Functions
Multiple-valued decision diagrams (MDDs) give a way of approaching problems by using symbolic variables which are often more naturally associated with the problem statement than t...
Harald Sack, Elena Dubrova, Christoph Meinel
68
Voted
VTC
2007
IEEE
101views Communications» more  VTC 2007»
15 years 3 months ago
Multi-Functional Antenna Array Assisted MC DS-CDMA Using Downlink Preprocessing Based on Singular Value Decomposition
—In this contribution we propose and investigate a transmitter preprocessing scheme designed for downlink transmission in multicarrier direct-sequence code-division multiple-acce...
Chong Xu, Bin Hu, Lie-Liang Yang, Lajos Hanzo
ECCV
2002
Springer
15 years 11 months ago
Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization
Nonlinear partial differential equations (PDE) are now widely used to regularize images. They allow to eliminate noise and artifacts while preserving large global features, such as...
Christophe Chefd'Hotel, David Tschumperlé, ...