Wikidata is one of the largest public general-purpose Knowledge Bases (K...
We present the self-encoder, a neural network trained to guess the ident...
This paper explores a novel application of textual semantic similarity t...
A well-known metric for quantifying the similarity between two clusterin...
Semi-supervised classification on graphs aims at assigning labels to all...
In this paper, we show that slow feature analysis (SFA), a common time s...
Spectral embedding is a popular technique for the representation of grap...
We present a novel spectral embedding of graphs that incorporates weight...
Hierarchical graph clustering is a common technique to reveal the multi-...
We present a novel hierarchical graph clustering algorithm inspired by
m...
We introduce a novel algorithm to perform graph clustering in the edge
s...
Understanding the performance of a pool of servers is crucial for proper...
We consider a system of processor-sharing queues with state-dependent se...
We consider the problem of accurately estimating the reliability of work...
We propose a streaming algorithm for the binary classification of data b...
This paper presents a novel spectral algorithm with additive clustering
...