409 search results - page 10 / 82 » Learning Predictive Clustering Rules |
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
SGAI
2007
Springer
14 years 25 days ago
2007
Springer
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
ALT
2008
Springer
14 years 3 months ago
2008
Springer
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
ILP
1999
Springer
13 years 11 months ago
1999
Springer
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
EUSFLAT
2009
13 years 4 months ago
2009
-- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...