PKDD
2015
Springer
8 years 8 months ago
2015
Springer
We present a general formulation of metric learning for co-embedding, where the goal is to relate objects from different sets. The framework allows metric learning to be applied to...
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...