Results 61 to 70 of about 25,488 (167)

Statistical Relational Learning: An Inductive Logic Programming Perspective [PDF]

, 2005
In the past few years there has been a lot of work lying at the intersection of probability theory, logic programming and machine learning [14,18,13,9,6,1,11]. This work is known under the names of statistical relational learning [7,5], probabilistic logic learning [4], or probabilistic inductive logic programming.
openaire   +2 more sources

Statistical Relational Learning of Object Affordances for Robotic Manipulation

, 2014
We present initial results of an application of statistical relational learning using ProbLog to a robotic manipulation task modeled using affordances. Affordances encompass the action possibilities on an object, so previous works have presented models for just one object.
Bogdan Moldovan, Martijn van Otterlo, Luc De Raedt, Plinio Moreno, José Santos-Victor   +4 more
openaire   +2 more sources

Statistical Relational Learning [PDF]

, 2011
De Raedt, Luc, Kersting, Kristian
openaire   +2 more sources

Editorial: Statistical Relational Artificial Intelligence

Frontiers in Robotics and AI, 2019
Fabrizio Riguzzi, Kristian Kersting, Marco Lippi, Sriraam Natarajan   +3 more
doaj   +1 more source

Query Completion for Small-Scale Distributed Databases in PostgreSQL and MongoDB [PDF]

Database Systems Journal
Relational/SQL and document/JSON data stores are competing but complementary technologies in OLAP (On-Line Analytical Processing) systems. Whereas traditional approaches for performance comparison use query execution time, this paper compares two ...
Marin FOTACHE, Catalina BADEA, Marius-Iulian CLUCI, Codrin-Stefan ESANU   +3 more
doaj  

Mediating Role of Self-Efficacy Beliefs in the Relationship Between Teachers’ Attitudes Towards Their Profession and Their Professional Learning Levels

Yaşadıkça Eğitim
The aim of this study is to investigate the mediating role of self-efficacy beliefs in the relationship between teachers’ attitudes towards their profession and their professional learning levels.
İsmail Erol, Özge Erduran Tekin, Semih Çayak, Merve Aydın   +3 more
doaj   +1 more source

Scalable Statistical Relational Learning for NLP [PDF]

Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts, 2016
William Yang Wang, William W. Cohen
openaire   +1 more source

TMRGNN: Temporal Multi-Relation Graph Neural Network for Malicious Client Detection in Federated Learning

IEEE Open Journal of the Communications Society
Federated learning remains inherently vulnerable in practical deployments, as malicious clients can behave unpredictably, launch coordinated delayed attacks, and exploit non-IID data heterogeneity to obscure their adversarial behavior. Existing defenses,
Anuja Kunjumon, E. V. Sunitha, Jyothisha J. Nair   +2 more
doaj   +1 more source

Predicting virus mutations through statistical relational learning. [PDF]

BMC Bioinformatics, 2014
Cilia E, Teso S, Ammendola S, Lenaerts T, Passerini A.   +4 more
europepmc   +1 more source

Evaluation of teacher candidates' attitudes towards the use of smart learning technologies

Journal of Technology and Science Education
Smart learning technologies employed in education encompass a range of tools and platforms that facilitate learning and instructional activities. Here are several significant smart learning technologies: e-learning platforms, smart learning content tools,
Galiya Abayeva, Saule T. Issaliyeva, Saltanat Zh. Omirbek, Klara B. Smatova, Saule K. Alimbayeva, Damir R. Rashidinov   +5 more
doaj   +1 more source