My first exposure to Support Vector Machines came this spring when heard Sue Dumais
present impressive results on text categorization using this analysis technique. This issue's …

We investigate the application of Support Vector Machines (SVMs) in computer vision. SVM
is a learning technique developed by V. Vapnik and his team (AT&T Bell Labs., 1985) that …

1.1 Overview of Learning Systems and Concepts.............. 1.1. 1 What is a Learning
System?................... 1.1. 2 The Paradigm of Example-based Learning........... 1.1. 3 Example …

We investigate the problem of training a support vector machine (SVM) on a very large
database in the case in which the number of support vectors is also very large. Training a …

This paper presents a trainable object detection architecture that is applied to detecting
people in static images of cluttered scenes. This problem poses several challenges. People …

A novel method for regression has been recently proposed by Vapnik et al.(1995, 1996).
The technique, called support vector machine (SVM), is very well founded from the …

Vehicles load passengers at a single service point and, after traversing some route, return
for another trip. The travel times of successive trips are independent identically distributed …

Drug-facilitated sexual assault (DFSA) and drug-facilitated crime (DFC) constitute a mode of
violence that is generally unknown to the population and may go unnoticed by health …

The study of any problem involving waiting situations invariably assumes that people dislike
having to wait. The analysis of queueing problems usually prescribes that some costs …

Numerous studies relate differences in microbial communities to human health and disease;
however, little is known about microbial changes that occur postmortem or the possible …