DIAGRAMS
2004
Springer
14 years 5 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
CIKM
2004
Springer
14 years 5 months ago
2004
Springer
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
AIMSA
2004
Springer
14 years 5 months ago
2004
Springer
PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
While there is a lot of empirical evidence showing that traditional rule learning approaches work well in practice, it is nearly impossible to derive analytical results about thei...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper describes an e cient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...