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» Adaptive Learning from Evolving Data Streams
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148
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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 5 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
140
Voted
IPPS
2005
IEEE
15 years 9 months ago
Distributed Data Streams Indexing using Content-Based Routing Paradigm
In recent years, we have seen a dramatic increase in the use of data-centric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and vari...
Ahmet Bulut, Ambuj K. Singh, Roman Vitenberg
140
Voted
IJPP
2011
115views more  IJPP 2011»
14 years 7 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
162
Voted
ACML
2009
Springer
15 years 8 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
173
Voted
IDA
2011
Springer
14 years 10 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May