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LPNMR
2007
Springer
15 years 3 months ago
Using Answer Sets to Solve Belief Change Problems
We describe BE, an implemented system for solving belief change problems in the presence of actions. We illustrate how we can use BE to compute the result of belief progression, be...
Aaron Hunter, James P. Delgrande, Joel Faber
WSC
2007
14 years 12 months ago
Sequential sampling for solving stochastic programs
We develop a sequential sampling procedure for solving a class of stochastic programs. A sequence of feasible solutions, with at least one optimal limit point, is given as input t...
Güzin Bayraksan, David P. Morton
CCIA
2010
Springer
14 years 4 months ago
WizArg: Visual Argumentation Framework Solving Wizard
Extension-based argumentation semantics have shown to be a suitable approach for performing practical reasoning. An important concern in extensionbased-argumentation semantics is t...
Ignasi Gómez-Sebastià, Juan Carlos N...
NIPS
1996
14 years 11 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
78
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ICUMT
2009
14 years 7 months ago
Performance evaluations of channel estimations in IEEE 802.11p environments
To solve the defect in IEEE 802.11p standard that coherence bandwidth is insufficient to estimate the channel state in rich scattering environment, hance a time domain channel esti...
Chi-Sheng Lin, Che-Kang Sun, Jia-Chin Lin, Bo-Chua...