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» An empirical assessment of adaptation techniques
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AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
ICPADS
2006
IEEE
14 years 1 months ago
Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms
While most parallel task graphs scheduling research has been done in the context of single homogeneous clusters, heterogeneous platforms have become prevalent and are extremely at...
Tchimou N'Takpé, Frédéric Sut...
CBMS
2002
IEEE
14 years 19 days ago
An Intelligent Agent-based Knowledge Broker for Enterprise-wide Healthcare Knowledge Procurement
Within the confines of a Healthcare Enterprise Memory (HEM), most traditional medical systems do not sufficiently provide the necessary assistance to healthcare practitioners in t...
Zafar Iqbal Hashmi, Syed Sibte Raza Abidi, Yu-N Ch...
FUZZIEEE
2007
IEEE
13 years 11 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
TKDE
2010
168views more  TKDE 2010»
13 years 6 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...