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ECAI
2010
Springer
15 years 1 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
ICASSP
2007
IEEE
15 years 7 months ago
A New Technique for High-Resolution Frequency Domain Optical Coherence Tomography
Frequency domain optical coherence tomography (FDOCT) is a new technique that is well-suited for fast imaging of biological specimens, as well as non-biological objects. The measu...
S. Chandra Sekhar, Himanshu Nazkani, Thierry Blu, ...
90
Voted
ALT
2009
Springer
15 years 4 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
133
Voted
CORR
2010
Springer
132views Education» more  CORR 2010»
14 years 7 months ago
Automated co-evolution of GMF editor models
Abstract. The Eclipse Graphical Modeling (GMF) Framework provides the major approach for implementing visual languages on top of the Eclipse platform. GMF relies on a family of mod...
Davide Di Ruscio, Ralf Lämmel, Alfonso Pieran...
90
Voted
AAAI
2006
15 years 2 months ago
Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
Vishal Soni, Satinder P. Singh