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» An Introduction to Transfer Learning
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FLAIRS
2009
13 years 7 months ago
Training to a Neural Net's Inherent Bias
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
CHI
2010
ACM
13 years 6 months ago
Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor
Teaching is inherently a social interaction between teacher and student. Despite this knowledge, many educational tools, such as vocabulary training programs, still model the inte...
Martin Saerbeck, Tom Schut, Christoph Bartneck, Ma...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 4 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
DAGM
2011
Springer
12 years 9 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
BIBM
2010
IEEE
158views Bioinformatics» more  BIBM 2010»
13 years 7 months ago
Protein-protein interaction prediction via Collective Matrix Factorization
Abstract--Protein-protein interactions (PPI) play an important role in cellular processes and metabolic processes within a cell. An important task is to determine the existence of ...
Qian Xu, Evan Wei Xiang, Qiang Yang