60 search results - page 7 / 12 » An Optimal Parallel Algorithm for Learning DFA |
SC
2000
ACM
13 years 11 months ago
2000
ACM
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
ICDE
2011
IEEE
12 years 10 months ago
2011
IEEE
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
ICS
2010
Tsinghua U.
14 years 4 months ago
2010
Tsinghua U.
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
DATAMINE
2002
13 years 6 months ago
2002
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...