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» Constructing informative priors using transfer learning
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CVPR
2010
IEEE
15 years 8 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
GPEM
2000
121views more  GPEM 2000»
14 years 11 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
SIGCSE
2010
ACM
166views Education» more  SIGCSE 2010»
15 years 1 days ago
Introducing concurrency in CS 1
Because of the growing importance of concurrent programming, many people are trying to figure out where in the curriculum to introduce students to concurrency. In this paper we di...
Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P....
DMIN
2008
190views Data Mining» more  DMIN 2008»
15 years 1 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 7 days ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker