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JMLR
2006
99views more  JMLR 2006»
15 years 6 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
JAR
2000
123views more  JAR 2000»
15 years 6 months ago
Local Search Algorithms for SAT: An Empirical Evaluation
Local search algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. For SAT, some ...
Holger H. Hoos, Thomas Stützle
DATE
2005
IEEE
101views Hardware» more  DATE 2005»
16 years 3 days ago
Compiler-Directed Instruction Duplication for Soft Error Detection
In this work, we experiment with complier-directed instruction duplication to detect soft errors in VLIW datapaths . In the proposed approach, the compiler determines the instruct...
Jie S. Hu, Feihui Li, Vijay Degalahal, Mahmut T. K...
GLOBECOM
2007
IEEE
16 years 25 days ago
Opportunistic Access with Random Subchannel Backoff (OARSB) for OFDMA Uplink
Abstract— A distributed medium access control (MAC) algorithm for uplink OFDMA networks under the IEEE 802.16 framework is proposed and analyzed in this work. We present a simple...
Yu-Jung Chang, Feng-Tsun Chien, C. C. Jay Kuo
APN
2001
Springer
15 years 11 months ago
Optimising Enabling Tests and Unfoldings of Algebraic System Nets
Reachability analysis and simulation tools for high-level nets spend a significant amount of the computing time in performing enabling tests, determining the assignments under whi...
Marko Mäkelä