3378 search results - page 463 / 676 » Learning in Friedberg Numberings |
168
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ISMIS
2000
Springer
15 years 10 months ago
2000
Springer
This paper is devoted to the problem of learning to predict ordinal (i.e., ordered discrete) classes using classification and regression trees. We start with S-CART, a tree inducti...
185
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FLAIRS
2007
15 years 9 months ago
2007
Currently, among the fastest approaches to AI task planning we find many forward-chaining heuristic planners, as FF. Most of their good performance comes from the use of domain-i...
175
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AUSAI
2008
Springer
15 years 8 months ago
2008
Springer
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
190
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
184
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CAIP
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...