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» Hedging predictions in machine learning
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148
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ICML
2010
IEEE
15 years 5 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
ICML
2005
IEEE
16 years 5 months ago
Using additive expert ensembles to cope with concept drift
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Jeremy Z. Kolter, Marcus A. Maloof
128
Voted
NCA
2007
IEEE
15 years 4 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
VL
2009
IEEE
126views Visual Languages» more  VL 2009»
15 years 11 months ago
Predicting reuse of end-user web macro scripts
Repositories of code written by end-user programmers are beginning to emerge, but when a piece of code is new or nobody has yet reused it, then current repositories provide users ...
Christopher Scaffidi, Christopher Bogart, Margaret...
CSB
2005
IEEE
149views Bioinformatics» more  CSB 2005»
15 years 10 months ago
Combinatorial method of splice sites prediction
Predicting and proper ranking of splice sites (SS) is a challenging problem in bioinformatics and machine learning communities. Proposed method of donor and acceptor SSs predictio...
Alexander G. Churbanov, Hesham H. Ali