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» A Balanced Approach to Application Performance Tuning
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EMNLP
2011
12 years 7 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
ACSC
2008
IEEE
14 years 2 months ago
Reasoning about inherent parallelism in modern object-oriented languages
In the future, if we are to continue to expect improved application performance we will have to achieve it by exploiting course-grained hardware parallelism rather then simply rel...
Wayne Reid, Wayne Kelly, Andrew Craik
HIS
2008
13 years 9 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
CLUSTER
2007
IEEE
14 years 2 months ago
Evaluation of fault-tolerant policies using simulation
— Various mechanisms for fault-tolerance (FT) are used today in order to reduce the impact of failures on application execution. In the case of system failure, standard FT mechan...
Anand Tikotekar, Geoffroy Vallée, Thomas Na...
DAIS
2003
13 years 9 months ago
Rational Server Selection for Mobile Agents
- Mobile agents have the ability to migrate through heterogeneous networks and execute at remote hosts. This ability can be exploited to improve the performance of agent based appl...
Carsten Pils, Stefan Diepolder