PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Abstract. We propose a probabilistic method for inferring the geographical locations of linked objects, such as users in a social network. Unlike existing methods, our model does n...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
We present a solution to the MoReBikeS challenge in ECML PKDD 2015 conference by analysing data from different aspects, by visualising latent patterns, by building a set of featur...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
The goal of domain adaptation is to solve the problem of di↵erent joint distribution of observation and labels in the training and testing data sets. This problem happens in many...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems. We present an approach based on trip matching and ens...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Sensors and Internet-of-Things scenarios promise a wealth of interaction data that can be naturally represented by means of timevarying graphs. This brings forth new challenges for...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Our aim is to extend standard principal component analysis for non-time series data to explore and highlight the main structure of multiple sets of multivariate time series. To thi...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
There has been extensive research on social networks and methods for specific tasks such as: community detection, link prediction, and tracing information cascades; and a recent e...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Abstract. This work is in the context of kernel-based learning algorithms for sequence data. We present a probabilistic approach to automatically extract, from the output of such s...