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ECAI
2004
Springer
16 years 8 days ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
BPSC
2009
240views Business» more  BPSC 2009»
15 years 8 months ago
Modelling and Solving Configuration Problems on Business Processes Using a Multi-Level Constraint Satisfaction Approach
Abstract: In this paper we present our ideas to apply constraint satisfaction on business processes. We propose a multi-level constraint satisfaction approach to handle t levels of...
Wolfgang Runte
PTS
2007
97views Hardware» more  PTS 2007»
15 years 8 months ago
Learning and Integration of Parameterized Components Through Testing
Abstract. We investigate the use of parameterized state machine models to drive integration testing, in the case where the models of components are not available beforehand. Theref...
Muzammil Shahbaz, Keqin Li 0002, Roland Groz
CORR
1999
Springer
222views Education» more  CORR 1999»
15 years 6 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
FDL
2007
IEEE
15 years 10 months ago
Transaction Level Modelling: A reflection on what TLM is and how TLMs may be classified
Transaction-level modelling (TLM) is a poorlyterm, promising a level of abstraction like RTL (register transfer level), where the key feature is a `transaction'. But unlike r...
Mark Burton, James Aldis, Robert Günzel, Wolf...