34 search results - page 3 / 7 » ML-KNN: A lazy learning approach to multi-label learning |
ESANN
1998
13 years 6 months ago
1998
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
IDA
2006
Springer
13 years 5 months ago
2006
Springer
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
KELSI
2004
Springer
13 years 11 months ago
2004
Springer
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
NIPS
1998
13 years 6 months ago
1998
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
CAV
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...