Incremental learning of event definitions with inductive logic programming
Event recognition systems rely on knowledge bases of event definitions to infer occurrences
of events in time. Using a logical framework for representing and reasoning about events …
of events in time. Using a logical framework for representing and reasoning about events …
Probabilistic event calculus for event recognition
Symbolic event recognition systems have been successfully applied to a variety of
application domains, extracting useful information in the form of events, allowing experts or …
application domains, extracting useful information in the form of events, allowing experts or …
On-line human activity recognition from audio and home automation sensors: Comparison of sequential and non-sequential models in realistic Smart Homes 1
Abstract Automatic human Activity Recognition (AR) is an important process for the provision
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
Online learning of event definitions
Systems for symbolic event recognition infer occurrences of events in time using a set of
event definitions in the form of first-order rules. The Event Calculus is a temporal logic that …
event definitions in the form of first-order rules. The Event Calculus is a temporal logic that …
Probabilistic event calculus based on markov logic networks
In this paper, we address the issue of uncertainty in event recognition by extending the
Event Calculus with probabilistic reasoning. Markov Logic Networks are a natural candidate …
Event Calculus with probabilistic reasoning. Markov Logic Networks are a natural candidate …
: Online Structure Learning Using Background Knowledge Axiomatization
We present OSL α—an online structure learner for Markov Logic Networks (MLNs) that
exploits background knowledge axiomatization in order to constrain the space of possible …
exploits background knowledge axiomatization in order to constrain the space of possible …
Development of a method for intelligent video monitoring of abnormal behavior of people based on parallel object-oriented logic programming
AA Morozov - Pattern Recognition and Image Analysis, 2015 - Springer
A method for intelligent video monitoring of abnormal behavior of people is considered that
is based on parallel object-oriented logic programming. The main idea of the method …
is based on parallel object-oriented logic programming. The main idea of the method …
Ontology-based hybrid commonsense reasoning framework for handling context abnormalities in uncertain and partially observable environments
K Moulouel, A Chibani, Y Amirat - Information Sciences, 2023 - Elsevier
Ambient intelligence (AmI) systems aim to provide users with context-aware assistance
services intended to improve the quality of their lives in terms of autonomy, safety, and well …
services intended to improve the quality of their lives in terms of autonomy, safety, and well …
Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learning
Abstract Human Activity Recognition (HAR) has attracted great attention from the
researchers in pervasive computing for smart healthcare. Patients with cardiac disease …
researchers in pervasive computing for smart healthcare. Patients with cardiac disease …
[PDF][PDF] Ethical Decision-Making Framework Based on Incremental ILP Considering Conflicts.
X Wang, Q Li, X Bao - Computers, Materials & Continua, 2024 - cdn.techscience.cn
Humans are experiencing the inclusion of artificial agents in their lives, such as unmanned
vehicles, service robots, voice assistants, and intelligent medical care. If the artificial agents …
vehicles, service robots, voice assistants, and intelligent medical care. If the artificial agents …