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» Boosted Optimization for Network Classification
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TKDE
2008
123views more  TKDE 2008»
14 years 9 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
ENGL
2006
99views more  ENGL 2006»
14 years 9 months ago
A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
R. Sukanesh, R. Harikumar
ICPP
2007
IEEE
15 years 3 months ago
Towards Optimized Packet Classification Algorithms for Multi-Core Network Processors
In this paper, a novel packet classification scheme optimized for multi-core network processors is proposed. The algorithm, Explicit Cuttings (ExpCuts), adopts a hierarchical spac...
Yaxuan Qi, Bo Xu, Fei He, Xin Zhou, Jianming Yu, J...
DATE
2007
IEEE
165views Hardware» more  DATE 2007»
15 years 3 months ago
Boosting the role of inductive invariants in model checking
This paper focuses on inductive invariants in unbounded model checking to improve efficiency and scalability. First of all, it introduces optimized techniques to speedup the comp...
Gianpiero Cabodi, Sergio Nocco, Stefano Quer
HPDC
1997
IEEE
15 years 1 months ago
Packing Messages as a Tool for Boosting the Performance of Total Ordering Protocols
This paper compares the throughput and latency of four protocols that provide total ordering. Two of these protocols are measured with and without message packing. We used a techn...
Roy Friedman, Robbert van Renesse