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ESANN
2006
14 years 11 months ago
Neural networks and machine learning in bioinformatics - theory and applications
Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...

Publication
767views
16 years 8 months ago
Analysis of the Increase/Decrease Algorithms for Congestion Avoidance in Computer Networks
Congestion avoidance mechanisms allow a network to operate in the optimal region of low delay and high throughput, thereby, preventing the network from becoming congested. This is ...
D. Chiu and R. Jain
AGENTS
1998
Springer
15 years 2 months ago
A Multiagent Perspective of Parallel and Distributed Machine Learning
Parallel and distributed information processing systems play an increasingly important role in artificial intelligence and computer science. In this article an approach to learnin...
Gerhard Weiß
PADL
1999
Springer
15 years 2 months ago
CHAT: The Copy-Hybrid Approach to Tabling
The copying approach to tabling (CAT) is an alternative to SLG-WAM and based on incrementally copying the areas that the SLG-WAM freezes to preserve execution states of suspended ...
Bart Demoen, Konstantinos F. Sagonas
CLUSTER
2008
IEEE
15 years 4 months ago
Live and incremental whole-system migration of virtual machines using block-bitmap
—In this paper, we describe a whole-system live migration scheme, which transfers the whole system run-time state, including CPU state, memory data, and local disk storage, of th...
Yingwei Luo, Binbin Zhang, Xiaolin Wang, Zhenlin W...