Titlebook: Machine Learning: ECML-98; 10th European Confer Claire Nédellec,Céline Rouveirol Conference proceedings 1998 Springer-Verlag Berlin Heidelb

懸掛

Pruning decision trees with misclassification costs,ion criteria. The main advantage of pruning was in the reduction of the decision tree size, sometimes by a factor of ten. While no method dominated others on all datasets, even for the same domain different pruning mechanisms are better for different loss matrices.

Meditate

Conference proceedings 1998.The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were selected from a total of 100 submissions. The book is divided in sections on applications of ML, Bayesian networks, feature selection, decision trees,

ear-canal

Euphonious

Conference proceedings 1998support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.

運動吧

0302-9743 on trees, support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.978-3-540-64417-0978-3-540-69781-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

誹謗

Modify

CRASS

Automatic acquisition of lexical knowledge from sparse and noisy data,omain-specific texts. This method determines regularity in grammatical forms and also reoccuring ungrammatical forms from the input text. Through a combination of frequency lists and Levenshtein matrices, a language independent, robust core lexicon is constructed that supports the analysis of “noisy texts,” too.