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» Improving the Performance of the RISE Algorithm
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IJCAI
1989
15 years 7 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
VLSISP
2011
358views Database» more  VLSISP 2011»
15 years 1 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
DEBU
2008
186views more  DEBU 2008»
15 years 6 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
UAI
2003
15 years 8 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
170
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ISCC
2009
IEEE
163views Communications» more  ISCC 2009»
16 years 1 months ago
Distributed parallel scheduling algorithms for high-speed virtual output queuing switches
Abstract—This paper presents a novel scalable switching architecture for input queued switches with its proper arbitration algorithms. In contrast to traditional switching archit...
Lotfi Mhamdi, Mounir Hamdi