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IJCAI
2007
15 years 7 months ago
Managing Domain Knowledge and Multiple Models with Boosting
We present MBoost, a novel extension to AdaBoost that extends boosting to use multiple weak learners explicitly, and provides robustness to learning models that overfit or are po...
Peng Zang, Charles Lee Isbell Jr.
214
Voted
SMR
2010
149views more  SMR 2010»
15 years 4 months ago
Capturing variability in business process models: the Provop approach
Usually, for a particular business process different variants exist. Each of them constitutes an adjustment of a reference process model to specific requirements building the proc...
Alena Hallerbach, Thomas Bauer, Manfred Reichert
161
Voted
CAD
2004
Springer
15 years 6 months ago
Choosing consistent constraints for beautification of reverse engineered geometric models
Boundary representation models reconstructed from 3D range data suffer from various inaccuracies caused by noise in the data and the model building software. Such models can be im...
Frank C. Langbein, A. David Marshall, Ralph R. Mar...
146
Voted
CSL
2002
Springer
15 years 6 months ago
Stochastic natural language generation for spoken dialog systems
We describe a corpus-based approach to natural language generation (NLG). The approach has been implemented as a component of a spoken dialog system and a series of evaluations we...
Alice Oh, Alexander I. Rudnicky
JMLR
2002
106views more  JMLR 2002»
15 years 5 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...