1310 search results - page 63 / 262 » Learning the k in k-means |
FLAIRS
2008
15 years 4 days ago
2008
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
ESANN
2008
14 years 11 months ago
2008
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
COLT
2010
Springer
14 years 7 months ago
2010
Springer
We consider an online learning setting where at each time step the decision maker has to choose how to distribute the future loss between k alternatives, and then observes the los...
DAC
2003
ACM
15 years 10 months ago
2003
ACM
Bounded Model Checking (BMC) based on Boolean Satisfiability (SAT) procedures has recently gained popularity as an alternative to BDD-based model checking techniques for finding b...
CHI
2007
ACM
15 years 10 months ago
2007
ACM
How can we keep technology-focused computing and software engineering students interested and engaged in a soft subject like HCI? How can we avoid leaving the less gifted and less...