A game theory based framework for materialized view selection in data warehouses
H Azgomi, MK Sohrabi - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
Abstract Data warehouses exploit On-Line Analytical Processing (OLAP) to make rapid
answers for analytical queries. Huge amount of aggregated data within a data warehouse …
answers for analytical queries. Huge amount of aggregated data within a data warehouse …
Using model theory for grammatical inference: a case study from phonology
K Strother-Garcia, J Heinz… - International …, 2017 - proceedings.mlr.press
This paper examines the characterization and learning of grammars defined by conjunctions
of negative and positive literals (CNPL) where the literals correspond to structures in an …
of negative and positive literals (CNPL) where the literals correspond to structures in an …
Statistical relational learning with unconventional string models
This paper shows how methods from statistical relational learning can be used to address
problems in grammatical inference using model-theoretic representations of strings. These …
problems in grammatical inference using model-theoretic representations of strings. These …
Reactive motion planning for temporal logic tasks without workspace discretization
A Zehfroosh, HG Tanner - 2019 American Control Conference …, 2019 - ieeexplore.ieee.org
The curse of dimensionality is a challenge in many applications of Linear Temporal Logic
robot motion planning, and is linked to the discretization of the robot's workspace. The …
robot motion planning, and is linked to the discretization of the robot's workspace. The …
Resilient Supervisory Multiagent Systems
K Baxevani, A Zehfroosh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accidental or deliberate disruption of the coordination function in a multiagent system has
been discussed and referred to in the social sciences literature as leader decapitation; this …
been discussed and referred to in the social sciences literature as leader decapitation; this …
Control and discovery of environment behaviour
M Keegan, V Braberman, N D'Ippolito… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
An important ability of self-adaptive systems is to be able to autonomously understand the
environment in which they operate and use this knowledge to control the environment …
environment in which they operate and use this knowledge to control the environment …
[图书][B] A data-driven hierarchical framework for planning, navigation, and control of uncertain systems: Applications to miniature legged robots
K Karydis - 2015 - search.proquest.com
Performing navigation with state-of-the-art mobile robots in real-world settings is challenging
because of, among other reasons, the presence of uncertainty. Dealing with uncertainty in …
because of, among other reasons, the presence of uncertainty. Dealing with uncertainty in …
Resilience through learning in multi-agent cyber-physical systems
The paper contributes to the design of secure and resilient supervisory Cyber-Physical
Systems (CPS) through learning. The reported approach involves the inclusion of learning …
Systems (CPS) through learning. The reported approach involves the inclusion of learning …
Simbolička igra djece u kontekstu usvajanja vještina za svakodnevni život
D Frković - 2023 - sveznalica.zvu.hr
Sažetak U ovom radu, koristeći se detaljnim metodološkim pristupom pregleda literature,
provodi se temeljita analiza o tome kako igra utječe na različite aspekte dječjeg razvoja …
provodi se temeljita analiza o tome kako igra utječe na različite aspekte dječjeg razvoja …
Control and discovery of reactive system environments
N Piterman, M Keegan, V Braberman, N D'Ippolito… - 2020 - figshare.le.ac.uk
An important ability of self-adaptive systems is to be able to autonomously understand the
environment in which they operate and use this knowledge to control the environment …
environment in which they operate and use this knowledge to control the environment …