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114
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CORR
2010
Springer
14 years 12 months ago
2010
Springer
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
ADMA
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
104
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ICML
1994
IEEE
15 years 3 months ago
1994
IEEE
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
ACL
1998
15 years 1 months ago
1998
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...
108
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DCC
2011
IEEE
14 years 6 months ago
2011
IEEE
The effect of quantization of prior probabilities in a collection of distributed Bayesian binary hypothesis testing problems over which the priors themselves vary is studied. In ...