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» Causality and communities in neural networks
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93
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NN
2010
Springer
183views Neural Networks» more  NN 2010»
14 years 8 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
ISPAN
2002
IEEE
15 years 3 months ago
A New Parallel Genetic Algorithm
One problem of propagating the globally fittest individual via neighbourhood evolving in both island model and cellular model of existing parallel genetic algorithms (PGA) is that...
Ling Tan, David Taniar, Kate A. Smith
95
Voted
RIAO
2000
14 years 11 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...
73
Voted
INFFUS
2008
68views more  INFFUS 2008»
14 years 8 months ago
An ensemble based data fusion approach for early diagnosis of Alzheimer's disease
As the number of the elderly population affected by Alzheimer's disease (AD) rises rapidly, the need to find an accurate, inexpensive and non-intrusive diagnostic procedure t...
Robi Polikar, Apostolos Topalis, Devi Parikh, Debo...
92
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IJNSEC
2006
132views more  IJNSEC 2006»
14 years 10 months ago
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Bin Zhu, Ali A. Ghorbani