1407 search results - page 70 / 282 » Learning Abstract Scheduling Models |
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
ESANN
2007
14 years 11 months ago
2007
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
TAP
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. This paper extends dynamic symbolic execution to distributed and concurrent systems. Dynamic symbolic execution can be used in software testing to systematically identify...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...