PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Abstract. We introduce an adaptive output-sensitive Metropolis-Hastings algorithm for probabilistic models expressed as programs, Adaptive Lightweight Metropolis-Hastings (AdLMH). ...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
In standard supervised learning, each training instance is associated with an outcome from a corresponding output space (e.g., a class label in classification or a real number in ...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Abstract. Despite their rich energy renewable potential, mountainous areas suffer from energy poverty. A viable solution seems to be the radical turn towards renewable resources. A...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
We consider the problem of clustering a given dataset into k clusters subject to an additional set of constraints on relative distance comparisons between the data items. The addit...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Heterogeneous domain adaptation aims to exploit labeled training data from a source domain for learning prediction models in a target domain under the condition that the two domain...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Abstract. Oversampling is a common characteristic of data representing dynamic networks. It introduces noise into representations of dynamic networks, but there has been little wor...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Anglican is a probabilistic programming system designed to interoperate with Clojure and other JVM languages. We describe the implementation of Anglican and illustrate how its desi...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
This paper describes the methodology used for ECMLPKDD 2015 Discovery Challenge on Model Reuse with Bike Rental Station Data (MoReBikeS). The challenge was to predict the number of...