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» Perceptual Learning and Abstraction in Machine Learning
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IDEAL
2007
Springer
14 years 2 months ago
Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific ph...
Ali Al-Shahib, David Gilbert, Rainer Breitling
ICANN
2007
Springer
14 years 2 months ago
Incremental and Decremental Learning for Linear Support Vector Machines
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
Enrique Romero, Ignacio Barrio, Lluís Belan...
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
14 years 2 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
AWIC
2003
Springer
14 years 1 months ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma
WAPCV
2004
Springer
14 years 2 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark