Titlebook: Inductive Inference for Large Scale Text Classification; Kernel Approaches an Catarina Silva,Bernardete Ribeiro Book 2010 Springer-Verlag B

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Conflict

Enhancing SVMs for Text Classificationlearning techniques that integrate knowledge in the classification task to improve the performance of support vector machines (SVMs) in text classification applications..The introduction of unlabeled data in the learning stage is investigated. With the deluge of digital text data, unlabeled texts ar

谆谆教诲

Scaling RVMs for Text Classificationattention in this chapter to relevance vector machines (RVMs) and their application to text classification. RVMs’ probabilistic Bayesian nature allows both predictive distributions on testing instances and model-based selection that yields a parsimonious solution. However, scaling up the algorithm i

ASTER

commodity

Framework for Text Classificationhe common underlying thread has been the integration of knowledge in the inference of inductive learning models without penalizing processing time. This chapter unifies the main topics of this book into a framework. An inductive inference-based text classification framework will provide basic generi

半身雕像

狂热文化

resistant

去掉

coagulation