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» Prediction on Spike Data Using Kernel Algorithms
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170
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 6 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
PARA
2004
Springer
15 years 11 months ago
Analyzing Advanced PDE Solvers Through Simulation
Abstract. By simulating a real computer it is possible to gain a detailed knowledge of the cache memory utilization of an application, e.g., a partial differential equation (PDE) s...
Henrik Johansson, Dan Wallin, Sverker Holmgren
BMCBI
2007
138views more  BMCBI 2007»
15 years 6 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
186
Voted
ML
2010
ACM
185views Machine Learning» more  ML 2010»
15 years 29 days ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
RECSYS
2010
ACM
15 years 6 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach