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» The changing science of machine learning
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ESANN
2006
13 years 9 months ago
Neural networks and machine learning in bioinformatics - theory and applications
Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...
ICALT
2008
IEEE
14 years 2 months ago
Bringing CBLEs into Classrooms: Experiences with the Betty's Brain System
This paper discusses the Betty’s Brain system and our ongoing work on developing a suite of tools that assist students and teachers in classroom learning in science domains. We ...
John Wagster, Henry Kwong, Gautam Biswas, Daniel S...
EDUTAINMENT
2008
Springer
13 years 9 months ago
Teaching Machine Learning to Design Students
Machine learning is a key technology to design and create intelligent systems, products, and related services. Like many other design departments, we are faced with the challenge t...
Bram van der Vlist, Rick van de Westelaken, Christ...
DIS
2006
Springer
13 years 9 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Constrained hidden Markov models for population-based haplotyping
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
Niels Landwehr, Taneli Mielikäinen, Lauri Ero...