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AIPS
2008
15 years 3 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
DAC
2003
ACM
16 years 2 months ago
A scalable software-based self-test methodology for programmable processors
Software-based self-test (SBST) is an emerging approach to address the challenges of high-quality, at-speed test for complex programmable processors and systems-on chips (SoCs) th...
Li Chen, Srivaths Ravi, Anand Raghunathan, Sujit D...
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 8 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri
JEI
2008
116views more  JEI 2008»
14 years 12 months ago
Region-of-interest processing for electronic visual prostheses
Electronic visual prostheses, or "bionic eyes," are likely to provide some coarse visual sensations to blind patients who have these systems implanted. The quality of art...
Justin R. Boyle, Anthony J. Maeder, Wageeh W. Bole...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 1 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002