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ENTCS
2010
161views more  ENTCS 2010»
14 years 11 months ago
Bone Remodelling in BioShape
Many biological phenomena are inherently multiscale, i.e. they are characterised by interactions involving different scales at the same time. This is the case of bone remodelling,...
Federico Buti, Diletta Cacciagrano, Flavio Corradi...
ANSOFT
1998
140views more  ANSOFT 1998»
15 years 2 months ago
FORM: A Feature-Oriented Reuse Method with Domain-Specific Reference Architectures
Systematic discovery and exploitation of commonality across related software systems is a fundamental technical requirement for achieving successful software reuse. By examining a...
Kyo Chul Kang, Sajoong Kim, Jaejoon Lee, Kijoo Kim...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 2 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 ...
DIS
2009
Springer
15 years 9 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
IJCAI
2003
15 years 3 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer