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ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 7 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
ICCSA
2003
Springer
14 years 2 months ago
Web Visualization of Function-Defined Shapes
Abstract. This paper describes how function-based shape modeling can be expanded to web visualization, as well as how web-based visualization can be greatly improved by using the f...
Alexei Sourin, Lai Feng Min, Konstantin Levinski
BMCBI
2007
140views more  BMCBI 2007»
13 years 9 months ago
From genes to functional classes in the study of biological systems
Background: With the popularisation of high-throughput techniques, the need for procedures that help in the biological interpretation of results has increased enormously. Recently...
Fátima Al-Shahrour, Leonardo Arbiza, Hern&a...
FLAIRS
2007
13 years 11 months ago
Handling Qualitative Preferences Using Normal Form Functions
Reasoning about preferences is a major issue in many decision making problems. Recently, a new logic for handling preferences, called Qualitative Choice Logic (QCL), was presented...
Salem Benferhat, Daniel Le Berre, Karima Sedki
HPCA
2008
IEEE
14 years 9 months ago
PaCo: Probability-based path confidence prediction
A path confidence estimate indicates the likelihood that the processor is currently fetching correct path instructions. Accurate path confidence prediction is critical for applica...
Kshitiz Malik, Mayank Agarwal, Vikram Dhar, Matthe...