RSFDGRC
2015
Springer
8 years 7 months ago
2015
Springer
With the continued and relentless growth in dataset sizes in recent times, feature or attribute selection has become a necessary step in tackling the resultant intractability. Inde...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Detecting the underlying community structure of networks is an important problem in complex network analysis. Modularity is a well-known quality function introduced by Newman, that...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Abstract. Evaluation of balance stability in elderly people is of prominent relevance in the field of health monitoring. Recently, the use of Wii Balance Board has been proposed a...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Abstract. Call Detail Records (CDRs) are data recorded by telecommunications companies, consisting of basic informations related to several dimensions of the calls made through the...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
We consider the problem of estimating dynamic graphical models that describe the time-evolving conditional dependency structure between a set of data-streams. The bulk of work in s...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
This paper describes the implementation of a model in MATLAB that estimates the potential of home energy management systems based on different component criteria. This is done by t...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Metaphor identification in text is an open problem in natural language processing. In this paper, we present a new, supervised learning approach called MIL (Metaphor Identification...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Quantifying the difference between two distributions is a common problem in many machine learning and data mining tasks. What is also common in many tasks is that we only have empi...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Most hypothesis testing in machine learning is done using the frequentist null-hypothesis significance test, which has severe drawbacks. We review recent Bayesian tests which over...