Results 31 to 40 of about 56,825 (115)
A Unifying Model for Representing Time-Varying Graphs [PDF]
Graph-based models form a fundamental aspect of data representation in Data Sciences and play a key role in modeling complex networked systems. In particular, recently there is an ever-increasing interest in modeling dynamic complex networks, i.e ...
Fleury, Eric +2 more
core +6 more sources
Evidence of positive associations between the frequency of home math activities and preschool children’s math skills is mixed, and the operationalization of home math activities varies across studies.
Rebecca McGregor Reiner +3 more
doaj +1 more source
Transforming N-ary relationships to database schemas: an old and forgotten problem [PDF]
The N-ary relationships, have been traditionally a source of confusion and still are. One important source of confusion is that the term cardinality in a relationship has several interpretations, two of them being very popular.
Camps Pare, Rafael
core +1 more source
Testing and Debugging Techniques for Answer Set Solver Development
This paper develops automated testing and debugging techniques for answer set solver development. We describe a flexible grammar-based black-box ASP fuzz testing tool which is able to reveal various defects such as unsound and incomplete behavior, i.e ...
Brummayer, Robert, Järvisalo, Matti
core +2 more sources
Harnessing Graph Neural Networks to Predict International Trade Flows
In the realm of international trade and economic development, the prediction of trade flows between countries is crucial for identifying export opportunities.
Bassem Sellami +4 more
doaj +1 more source
Solving Set Constraint Satisfaction Problems using ROBDDs
In this paper we present a new approach to modeling finite set domain constraint problems using Reduced Ordered Binary Decision Diagrams (ROBDDs). We show that it is possible to construct an efficient set domain propagator which compactly represents many
Hawkins, P. J. +2 more
core +1 more source
Algorithm Engineering in Robust Optimization
Robust optimization is a young and emerging field of research having received a considerable increase of interest over the last decade. In this paper, we argue that the the algorithm engineering methodology fits very well to the field of robust ...
A Agra +114 more
core +1 more source
Weakly-supervised Dictionary Learning
We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and ...
Fern, Xiaoli Z. +3 more
core +1 more source
As radio access technologies, processing speeds, and multimode interfaces of low-powered portable devices continue to advance, the future of wireless communication is envisioned to offer pervasive network coverage, high data rates, and a wide spectrum of
Ashok Kumar Yadav +5 more
doaj +1 more source
Network formation by reinforcement learning: the long and medium run
We investigate a simple stochastic model of social network formation by the process of reinforcement learning with discounting of the past. In the limit, for any value of the discounting parameter, small, stable cliques are formed.
Pemantle, Robin, Skyrms, Brian
core +4 more sources

