'Support vector regression' diaporamas de présentation

Relational Transfer in Reinforcement Learning

772 views • 63 slides

Improving Protein-Ligand Binding Affinity Prediction using Random Forest

Improving Protein-Ligand Binding Affinity Prediction using Random Forest. Hongjian Li Department of Computer Science and Engineering Chinese University of Hong Kong 1 April 2014 http :// istar.cse.cuhk.edu.hk JackyLeeHongJian@Gmail.com. Protein-Ligand Docking.

661 views • 38 slides

Support Vector Machines

Support Vector Machines. Jordan Smith MUMT 611 14 February 2008. Topics to cover. What do Support Vector Machines (SVMS) do? How do SVMs work? Linear data Non-linear data (Kernel functions) Unseparable data (added Cost function) Search optimization Why?. What SVMs do. What SVMs do.

464 views • 33 slides

Massive Support Vector Regression (via Row and Column Chunking)

Massive Support Vector Regression (via Row and Column Chunking). David R. Musicant and O.L. Mangasarian NIPS 99 Workshop on Learning With Support Vectors December 3, 1999 http://www.cs.wisc.edu/~musicant. Chunking with 1 billion nonzero elements. Outline. Problem Formulation

409 views • 26 slides

Massive Support Vector Regression (via Row and Column Chunking)

Massive Support Vector Regression (via Row and Column Chunking). David R. Musicant and O.L. Mangasarian NIPS 99 Workshop on Learning With Support Vectors December 3, 1999 http://www.cs.wisc.edu/~musicant. Chunking with 1 billion nonzero elements. Outline. Problem Formulation

264 views • 26 slides

Modeling Novelty and feature combination using Support Vector Regression for Update Summarization

Modeling Novelty and feature combination using Support Vector Regression for Update Summarization. Praveen Bysani Vijay Yaram Vasudeva Varma. Outline. Text Summarization Update Summarization Support Vector Regression Sentence Scoring Features Novelty Factor (NF) Experimental Results.

402 views • 25 slides

Dr. Yukun Bao School of Management, HUST

Business Forecasting: Experiments and Case Studies. Dr. Yukun Bao School of Management, HUST. Case 3: Load Forecasting. Dr. Yukun Bao School of Management, HUST. Contents. Problem Statement Modeling tasks Data Analysis Experimental Results Summary. 1. Problem Statement.

292 views • 21 slides

Active Set Support Vector Regression

Active Set Support Vector Regression. David R. Musicant Alexander Feinberg NIPS 2001 Workshop on New Directions in Kernel-Based Learning Methods Friday, December 7, 2001. Carleton College. Active Set Support Vector Regression. Fast algorithm that utilizes an active set method

412 views • 19 slides

DDDAS: Stochastic Multicue Tracking of Objects with Many Degrees of Freedom

DDDAS: Stochastic Multicue Tracking of Objects with Many Degrees of Freedom. PIs: D. Metaxas, A. Elgammal and V. Pavlovic Dept of CS, Rutgers University C. Neidle Linguistics, Boston Univ . C. Vogler, Gallaudet University. Goals and Objectives.

207 views • 12 slides