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» High-Level Optimization via Automated Statistical Modeling
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DLOG
2010
13 years 5 months ago
Optimizing Algebraic Tableau Reasoning for SHOQ: First Experimental Results
In this paper we outline an algebraic tableau algorithm for the DL SHOQ, which supports more informed reasoning due to the use of semantic partitioning and integer programming. We ...
Jocelyne Faddoul, Volker Haarslev
ICANN
2007
Springer
14 years 1 months ago
Some Properties of the Gaussian Kernel for One Class Learning
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
INFOCOM
2008
IEEE
14 years 2 months ago
Competitive Analysis of Opportunistic Spectrum Access Strategies
—We consider opportunistic spectrum access (OSA) strategies for a transmitter in a multichannel wireless system, where a channel may or may not be available and the transmitter m...
Nicholas B. Chang, Mingyan Liu
CDC
2009
IEEE
160views Control Systems» more  CDC 2009»
13 years 5 months ago
Exploring and exploiting routing opportunities in wireless ad-hoc networks
Abstract--In this paper, d-AdaptOR, a distributed opportunistic routing scheme for multi-hop wireless ad-hoc networks is proposed. The proposed scheme utilizes a reinforcement lear...
Abhijeet Bhorkar, Mohammad Naghshvar, Tara Javidi,...
NPL
2002
168views more  NPL 2002»
13 years 7 months ago
Reduced Rank Kernel Ridge Regression
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
Gavin C. Cawley, Nicola L. C. Talbot