5463 search results - page 81 / 1093 » Evaluating algorithms that learn from data streams |
146
Voted
ECML
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
135
Voted
AI
2002
Springer
15 years 3 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
149
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GECCO
2009
Springer
15 years 8 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
150
Voted
MICCAI
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
127
Voted
VLDB
2004
ACM
15 years 9 months ago
2004
ACM
The emergence of location-aware services calls for new real-time spatio-temporal query processing algorithms that deal with large numbers of mobile objects and queries. In this de...