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» Learning Algorithms for Domain Adaptation
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MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 7 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 4 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 3 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
ICPR
2010
IEEE
15 years 28 days ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
HICSS
2008
IEEE
122views Biometrics» more  HICSS 2008»
15 years 9 months ago
A Meta-theory for Understanding IS in Socio-technical Systems
Information systems (IS) research often attempts to examine and explain how technology leads to outcomes through usage of information technology (IT). Although extensive research ...
Dominic M. Thomas, Saurabh Gupta, Robert P. Bostro...