General set approximation and its logical applications * [PDF]
, 2020 To approximate sets a number of theories have appeared for the last decades. Starting up from some general theoretical pre-conditions the authors give a set of minimum requirements for the lower and upper approximations and define general partial ...
Tamás Mihálydeák +1 more
core
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
, 2023 Transferring knowledge in cross-domain reinforcement learning is a challenging setting in which learning is accelerated by reusing knowledge from a task with different observation and/or action space.
Martinez-Carranza, Jose +2 more
core
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential. [PDF]
Stoch Environ Res Risk Assess, 2022 Amato F +5 more
europepmc +1 more source
Using Probabilistic Temporal Logic PCTL and Model Checking for Context Prediction [PDF]
, 2019 Context prediction is a promoting research topic with a lot of challenges and opportunities. Indeed, with the constant evolution of context-aware systems, context prediction remains a complex task due to the lack of formal approach.
Ameyed, Darine +4 more
core +1 more source
On the use of Fuzzy Preorders and Asymmetric Distances for Multi-Robot Communication [PDF]
[eng] One of the main problems to be addressed in a multi-robot system is the selection of the best robot, or group of them, to carry out a specific task.
Antich, Javier +2 more
core +1 more source
Neural network powered COVID-19 spread forecasting model. [PDF]
Chaos Solitons Fractals, 2020 Wieczorek M, Siłka J, Woźniak M.
europepmc +1 more source
Interactive computations: toward risk management in interactive intelligent systems. [PDF]
Nat Comput, 2016 Skowron A, Jankowski A.
europepmc +1 more source
Mixed deterministic and probabilistic networks. [PDF]
Ann Math Artif Intell, 2008 Mateescu R, Dechter R.
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On the Topology of Discrete Planning with Uncertainty
, 2011 M. Erdmann
semanticscholar +1 more source
Importance of Characteristic Features and Their Form for Data Exploration. [PDF]
Entropy (Basel)Stańczyk U, Zielosko B, Baron G.
europepmc +1 more source