悬挂
发表于 2025-4-1 02:38:44
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
发表于 2025-4-1 08:37:08
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
发表于 2025-4-1 10:49:42
http://reply.papertrans.cn/63/6208/620760/620760_63.png
Euphonious
发表于 2025-4-1 15:14:38
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.
运动吧
发表于 2025-4-1 19:04:15
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
诽谤
发表于 2025-4-1 23:23:44
http://reply.papertrans.cn/63/6208/620760/620760_66.png
Modify
发表于 2025-4-2 03:32:44
http://reply.papertrans.cn/63/6208/620760/620760_67.png
CRASS
发表于 2025-4-2 08:34:09
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.