'Ensemble classifier' presentation slideshows

Data Mining

Data Mining. Ensemble Techniques Introduction to Data Mining, 2 nd Edition by Tan, Steinbach, Karpatne, Kumar. Ensemble Methods. Construct a set of classifiers from the training data Predict class label of test records by combining the predictions made by multiple classifiers.

217 views • 21 slides

libD3C: ????????????????????

libD3C: ????????????????????. Quan Zou ( ? ? ) (Ph.D.& Professor) Tianjin University zouquan@tju.edu.cn. libD3C?libSVM libSVM ??? ????? ????????????. Kernel function parameter tuning in libSVM. C=1. C=10000. Ensemble learning: Make weak classifiers to strong one.

597 views • 19 slides

An Overview of Intrusion Detection Using Soft Computing

An Overview of Intrusion Detection Using Soft Computing. Archana Sapkota Palden Lama. Introduction. Intrusion Any set of actions that attempt to compromise the integrity, confidentiality or availability of a resource. Intrusion Detection:

318 views • 17 slides

SmartXAutofill Intelligent Data Entry Assistant for XML Documents

273 views • 16 slides

Artificial Intelligence Research Laboratory Bioinformatics and Computational Biology Program

Train DB. Sampling. Test DB. train. train. train. train. train. Bag of Trained Classifiers. Predictions. Weighted Majority Vote. Glycosylation. N-linked glycosylation. O-linked glycosylation. GPI anchor. C-mannosylation. N-acetylglucosamine (N-GlcNAc). C-mannose. O -mannose.

213 views • 1 slides