'Training set test set' presentation slideshows

Classification

Classification. Classification task. Input : a training set of tuples, each labeled with one class label Output : a model (classifier) that assigns a class label to each tuple based on the other attributes

796 views • 79 slides

26 September 2000 James C. Lyke

Cellular Automata Based Reconfigurable Systems as a Transitional Approach to Gigascale Electronic Architectures. 26 September 2000 James C. Lyke. Outline. Introduction Background Description of reconfigurable cellular automata (RCA) arrays Summary of current status. Introduction.

583 views • 46 slides

Bayesian Co-clustering for Dyadic Data Analysis

Bayesian Co-clustering for Dyadic Data Analysis. Arindam Banerjee banerjee@cs.umn.edu Dept of Computer Science & Engineering University of Minnesota, Twin Cities. Workshop on Algorithms for Modern Massive Datasets (MMDS 2008). Joint work with Hanhuai Shan. Introduction. Dyadic Data

472 views • 30 slides

Week 2 Video 5

430 views • 24 slides

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products. Jianfu Chen, David S. Warren Stony Brook University. Classification is a fundamental problem in information management. UNSPSC. Vehicles and their Accessories and Components (25).

356 views • 22 slides