756 search results - page 76 / 152 » Adaptive Learning in Machine Summarization |
132
click to vote
HIS
2004
15 years 4 months ago
2004
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
112
Voted
ECTEL
2007
Springer
15 years 8 months ago
2007
Springer
Nowadays, people are in need for continuous learning in order to keep up to date or be upgraded in their job. An infrastructure for lifelong learning requires continuous adaptation...
120
Voted
COLT
2005
Springer
15 years 8 months ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
110
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Given a large, real graph, how can we generate a synthetic graph that matches its properties, i.e., it has similar degree distribution, similar (small) diameter, similar spectrum,...
156
click to vote
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...