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» Constructing informative priors using transfer learning
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SIGIR
2004
ACM
14 years 2 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
HICSS
2005
IEEE
115views Biometrics» more  HICSS 2005»
14 years 2 months ago
Exploring the Psychological Determinants of Perceived Ease of Use and Usefulness
The question of why individuals adopt a particular information system is an important issue in IS research. While extensive prior research has established that the Technology Acce...
Bryan A. Reinicke, George M. Marakas
CJ
2010
114views more  CJ 2010»
13 years 9 months ago
Using the Relational Model to Capture Topological Information of Spaces
Abstract. Motivated by research on how topology may be a helpful foundation for building information modeling (BIM), a relational database version of the notions of chain complex a...
Patrick Erik Bradley, Norbert Paul
IJCAI
1997
13 years 10 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
ICMLA
2003
13 years 10 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken