'High dimensional feature space' presentation slideshows

Kernel Methods: the Emergence of a Well-founded Machine Learning

Kernel Methods: the Emergence of a Well-founded Machine Learning. John Shawe-Taylor Centre for Computational Statistics and Machine Learning University College London. Overview. Celebration of 10 years of kernel methods: what has been achieved and what can we learn from the experience?

1.21k views • 95 slides

Feature Selection, Projection and Extraction

Feature Selection, Projection and Extraction. Carla Brodley. What is the concept?. + graduation + yellow - basket + garden - class. - banana + grapefruit - firetruck + airplane duck fire. What is Similarity?. Classifier Construction.

441 views • 32 slides

A new Cloud Security Intrusion Detection Model based On Rough Set and FSVM

371 views • 26 slides

Lecture 22 Clustering (3)

Lecture 22 Clustering (3). Outline. Self Organization Map: Structure Feature Map Algorithms Examples. Introduction to SOM. Both SOM and LVQ are proposed by T. Kohonen. Biological motivations : Different regions of a brain (cerebral cortex) seem to tune into different tasks.

192 views • 11 slides