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» Modular learning models in forecasting natural phenomena
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ECCV
2006
Springer
14 years 10 months ago
Learning and Incorporating Top-Down Cues in Image Segmentation
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
Xuming He, Richard S. Zemel, Debajyoti Ray
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 9 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
CHI
1995
ACM
14 years 4 days ago
The ScienceWare Modeler: a learner-centered tool for students building models
The Modeler is designed using a learner-centered approach [5], with scaffolding to address the specific needs of learners. Scaffolding [3] is an educational term that refers to pro...
Shari L. Jackson
ACL
2009
13 years 6 months ago
ProLiV - a Tool for Teaching by Viewing Computational Linguistics
ProLiV - Animated Process-modeler of Complex (Computational) Linguistic Methods and Theories - is a fully modular, flexible, XML-based stand-alone Java application, used for compu...
Monica Gavrila, Cristina Vertan
TAOSD
2010
13 years 3 months ago
Aspect-Oriented Design with Reusable Aspect Models
The idea behind Aspect-Oriented Modeling (AOM) is to apply aspect-oriented techniques to (software) models with the aim of modularizing crosscutting concerns. This can be done with...
Jörg Kienzle, Wisam Al Abed, Franck Fleurey, ...