1301 search results - page 35 / 261 » Default Clustering from Sparse Data Sets |
ICCS
2007
Springer
14 years 17 days ago
2007
Springer
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper we propose a system that recognises gait and quadruped structure from a sparse set of tracked points. In this work the motion information is derived from dynamic wil...
ECAI
2004
Springer
14 years 2 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
ICTAI
2003
IEEE
14 years 2 months ago
2003
IEEE
With the exploding volume of microarray experiments comes increasing interest in mining repositories of such data. Meaningfully combining results from varied experiments on an equ...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...