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» Prediction on Spike Data Using Kernel Algorithms
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 7 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
16 years 4 days 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...
ML
2010
ACM
185views Machine Learning» more  ML 2010»
15 years 1 months 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 7 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