2878 search results - page 25 / 576 » Learning the Common Structure of Data |
AMAI
2004
Springer
14 years 1 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
SIGCSE
2005
ACM
14 years 2 months ago
2005
ACM
Red-black trees and leftist heaps are classic data structures that are commonly taught in Data Structures (CS2) and/or Algorithms (CS7) courses. This paper describes alternatives ...
ML
2010
ACM
13 years 6 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
AAAI
2012
11 years 10 months ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...