566 search results - page 43 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
160
click to vote
ISIWI
2000
15 years 4 months ago
2000
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
124
click to vote
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
139
Voted
ICTAI
1993
IEEE
15 years 7 months ago
1993
IEEE
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
130
click to vote
UAI
2000
15 years 4 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
147
click to vote
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...