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» Feature selection with neural networks
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NIPS
1996
13 years 10 months ago
Early Stopping-But When?
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
Lutz Prechelt
CHI
2008
ACM
14 years 9 months ago
Picbreeder: evolving pictures collaboratively online
Picbreeder is an online service that allows users to collaboratively evolve images. Like in other Interactive Evolutionary Computation (IEC) programs, users evolve images in Picbr...
Jimmy Secretan, Nicholas Beato
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 1 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
FGR
1998
IEEE
179views Biometrics» more  FGR 1998»
14 years 1 months ago
User Localisation for Visually-Based Human-Machine-Interaction
Recently there is an increasing interest in video based interface techniques, allowing more natural interaction between users and systems than common interface devices do. Here, w...
Hans-Joachim Böhme, Ulf-Dietrich Braumann, An...
CEAS
2008
Springer
13 years 10 months ago
Exploiting Transport-Level Characteristics of Spam
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
Robert Beverly, Karen R. Sollins