ACML
2009
Springer
13 years 8 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
ACML
2009
Springer
13 years 8 months ago
2009
Springer
ACML
2009
Springer
13 years 9 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
ACML
2009
Springer
13 years 9 months ago
2009
Springer
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Enterprises have accumulated both structured and unstructured data steadily as computing resources improve. However, previous research on enterprise data mining often treats these ...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...