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117
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IWANN
2005
Springer
15 years 9 months ago
Input and Structure Selection for k-NN Approximator
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
126
Voted
SIBGRAPI
2005
IEEE
15 years 9 months ago
Analytic Antialiasing for Selective High Fidelity Rendering
Images rendered using global illumination algorithms are considered amongst the most realistic in 3D computer graphics. However, this high fidelity comes at a significant comput...
Peter Longhurst, Kurt Debattista, Richard Gillibra...
107
Voted
ISCC
2006
IEEE
15 years 9 months ago
SASA: A Synthesis Scheduling Algorithm with Prediction and Sorting Features
We present a new scheduling algorithm, which is a synthesis of all the remarkable features of pretransmission coordination-based protocols for broadcast and select star networks. ...
Panagiotis G. Sarigiannidis, Georgios I. Papadimit...
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 7 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
IDA
2009
Springer
15 years 10 months ago
Selecting Computer Architectures by Means of Control-Flow-Graph Mining
Abstract Deciding which computer architecture provides the best performance for a certain program is an important problem in hardware design and benchmarking. While previous approa...
Frank Eichinger, Klemens Böhm