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» Optimal Conclusive Sets for Comparator Networks
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GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 1 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
COR
2007
81views more  COR 2007»
13 years 7 months ago
Job scheduling methods for reducing waiting time variance
Minimizing Waiting Time Variance (WTV) is a job scheduling problem where we schedule a batch of n jobs, for servicing on a single resource, in such a way that the variance of thei...
Nong Ye, Xueping Li, Toni Farley, Xiaoyun Xu
JAIR
2002
163views more  JAIR 2002»
13 years 7 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
DEBS
2007
ACM
13 years 11 months ago
Scalable event matching for overlapping subscriptions in pub/sub systems
Content-based publish/subscribe systems allow matching the content of events with predicates in the subscriptions. However, most existing systems only allow a limited set of opera...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
TWC
2008
120views more  TWC 2008»
13 years 7 months ago
Binary Power Control for Sum Rate Maximization over Multiple Interfering Links
We consider allocating the transmit powers for a wireless multi-link (N-link) system, in order to maximize the total system throughput under interference and noise impairments, and...
Anders Gjendemsjø, David Gesbert, Geir E. &...