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SIGKDD
2010
183views more  SIGKDD 2010»
13 years 4 months ago
Inactive learning?: difficulties employing active learning in practice
Despite the tremendous level of adoption of machine learning techniques in real-world settings, and the large volume of research on active learning, active learning techniques hav...
Josh Attenberg, Foster J. Provost
SIGCPR
2006
ACM
166views Hardware» more  SIGCPR 2006»
14 years 3 months ago
Podcasting in academia: a new knowledge management paradigm within academic settings
Podcasting represents a new and exciting learning paradigm within an academic setting. Materials such conference reports, research manuscripts, and course lectures can be recorded...
Peter Ractham, Xuesong Zhang
NIPS
1996
13 years 11 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
ISVC
2007
Springer
14 years 4 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
ALT
2004
Springer
14 years 6 months ago
Hidden Markov Modelling Techniques for Haplotype Analysis
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
Mikko Koivisto, Teemu Kivioja, Heikki Mannila, Pas...