2712 search results - page 70 / 543 » On learning algorithm selection for classification |
115
Voted
JIFS
2002
15 years 1 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
117
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In this paper we present a novel algorithm, CarpeDiem. It significantly improves on the time complexity of Viterbi algorithm, preserving the optimality of the result. This fact ha...
94
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
109
Voted
IJCAI
1989
15 years 3 months ago
1989
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
109
Voted
EUSFLAT
2007
15 years 3 months ago
2007
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...