摘要：
1.Multilayer feedforward networks and backpropagation2.Training of feedforward neural networks3.Generalization4. Bayesian learning of neural networks5 阅读全文
摘要：
MLPs Vs. SVM, QP problem，geometrical interpretation， primal space，dual space，fi-function，slack variance（L1，L2；origal,LS SVM），linear kernel，RBF kernel（ 阅读全文
摘要：
1.association rule mining： brief apriori， FP Tree等；recommanding: content based filtering, collaborative filtering,hybrid 2.clustering:BIRCH,CURE，k-mea 阅读全文
摘要：
1.belief networks (indenpendence, collider，conditioning / marginalization，connection graph，independence in belief networks，D-separation，uncertain and 阅读全文