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ECOOPW
2000
Springer
15 years 10 months ago
Metadata and Adaptive Object-Models
Abstract. The unrelenting pace of change that confronts contemporary software developers compels them to make their applications more configurable, flexible, and adaptable. A way t...
Joseph W. Yoder, Reza Razavi
ML
2010
ACM
135views Machine Learning» more  ML 2010»
15 years 29 days ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
ICALT
2008
IEEE
16 years 19 days ago
NUCLEO: Adaptive Computer Supported Collaborative Learning in a Role Game Based Scenario
This paper presents the adaptation model used in NUCLEO, a pilot e-learning environment that is currently being developed at the Complutense University of Madrid. The NUCLEO syste...
Pilar Sancho, Rubén Fuentes-Fernánde...
MODELS
2007
Springer
16 years 9 days ago
A Generic Approach for Automatic Model Composition
Analyzing and modelling a software system with separate views is a good practice to deal with complexity and maintainability. When adopting such a modular approach for modelling, i...
Franck Fleurey, Benoit Baudry, Robert B. France, S...
SI3D
2005
ACM
15 years 11 months ago
Adaptive sampling of intersectable models exploiting image and object-space coherence
We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location a...
Anders Adamson, Marc Alexa, Andrew Nealen