1091 search results - page 12 / 219 » Learning Models for Predicting Recognition Performance |
87
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JMLR
2010
14 years 4 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
ACL
2001
14 years 11 months ago
2001
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
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COLCOM
2005
IEEE
15 years 3 months ago
2005
IEEE
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
CP
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...