'Statistical learning theory' presentation slideshows

New Theoretical Frameworks for Machine Learning

New Theoretical Frameworks for Machine Learning. Maria-Florina Balcan. Thesis Proposal. 05/15/2007. Thanks to My Committee. Avrim Blum. Manuel Blum. Tom Mitchell. Yishay Mansour. Santosh Vempala. The Goal of the Thesis. New Theoretical Frameworks for Modern Machine Learning Paradigms.

853 views • 54 slides

Computational Science and Engineering at Berkeley

Computational Science and Engineering at Berkeley. Jim Demmel EECS & Math Departments www.cs.berkeley.edu/~demmel 20 Jan 2009. 4 Big Events. Establishment of a new graduate program in Computational Science and Engineering (CSE)

615 views • 40 slides

Support Vector Machine

Support Vector Machine. V. Vapnik. Today: Support Vector Machine (SVM). A classifier derived from statistical learning theory by Vapnik, et al. in 1992

525 views • 35 slides

Text Mining with Machine Learning Techniques

Text Mining with Machine Learning Techniques. Ping-Tsun Chang Intelligent Systems Laboratory Computer Science and Information Engineering National Taiwan University. Text Analysis. Summerization. Classification. Feature Selection. Language Identification. Clustering. Text Mining.

631 views • 34 slides

Security problems of your keyboard Authentication based on key strokes

Security problems of your keyboard Authentication based on key strokes Compromising emanations consist of electrical, mechanical, or acoustical Supply chain attack (Bluetooth, SD card) Power usage?. Key stroke biometrics with number-pad input (DSN 2010)

312 views • 31 slides

Learning from Observations

433 views • 26 slides

Learning from Observations

354 views • 26 slides

A Statistical Mechanical Analysis of Online Learning:

A Statistical Mechanical Analysis of Online Learning:. Seiji MIYOSHI Kobe City College of Technology miyoshi@kobe-kosen.ac.jp. Background (1). Batch Learning Examples are used repeatedly Correct answers for all examples Long time Large memory Online Learning

243 views • 24 slides

Adjusting Active Basis Model by Regularized Logistic Regression

Adjusting Active Basis Model by Regularized Logistic Regression. Ruixun Zhang Peking University Mentor: Prof. Ying Nian Wu Direct supervisor: Zhangzhang Si Department of Statistics. Outline. Active Basis model as a generative model Supervised and unsupervised learning

377 views • 22 slides

Factor Analysis

Factor Analysis. Statistical Learning Theory Fall 2005. Outline . General Motivation Definition/Derivation The Graphical Model Implications/Interpretations Maximum Likelihood Estimation Motivation Application (using the EM Algorithm) . Motivation.

435 views • 15 slides

Computational Intelligence: Methods and Applications

Computational Intelligence: Methods and Applications. Lecture 25 Kernel methods W?odzis?aw Duch Dept. of Informatics, UMK Google: W Duch. Kernels!.

290 views • 15 slides

Support vector machines for classification

262 views • 12 slides