610 search results - page 12 / 122 » Training a Selection Function for Extraction |
AI
2002
Springer
13 years 7 months ago
2002
Springer
Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
IJCNN
2000
IEEE
14 years 14 hour ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
DIS
2008
Springer
13 years 9 months ago
2008
Springer
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary ...