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» The Learning Power of Evolution
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DAC
1996
ACM
15 years 7 months ago
Early Power Exploration - A World Wide Web Application
Abstract: Exploration at the earliest stages of the design process is an integral component of effective low-power design. Nevertheless, superficial high-level analyses with insuff...
David Lidsky, Jan M. Rabaey
214
Voted
COLT
1992
Springer
15 years 7 months ago
On the Computational Power of Neural Nets
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
Hava T. Siegelmann, Eduardo D. Sontag
145
Voted
ML
2008
ACM
15 years 3 months ago
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns
Standard pattern discovery techniques, such as association rules, suffer an extreme risk of finding very large numbers of spurious patterns for many knowledge discovery tasks. The...
Geoffrey I. Webb
117
Voted
PRL
2008
97views more  PRL 2008»
15 years 3 months ago
Repairing self-confident active-transductive learners using systematic exploration
We consider an active learning game within a transductive learning model. A major problem with many active learning algorithms is that an unreliable current hypothesis can mislead...
Ron Begleiter, Ran El-Yaniv, Dmitry Pechyony
115
Voted
ALT
2001
Springer
16 years 16 days ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...