Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Sebastian Sardina"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:6996-7004
We propose a discriminant analysis (DA) classifier that uses online active learning to address the need for the frequent training of myoelectric interfaces due to covariate shift. This online classifier is initially trained using a small set of examp
Publikováno v:
SAE International Journal of Electrified Vehicles. 9:15-25
Publikováno v:
Expert Systems with Applications. 207:117994
Publikováno v:
Korean journal of orthodontics. 52(2)
To develop and explore the usefulness of an artificial intelligence system for the prediction of the need for dental extractions during orthodontic treatments based on gender, model variables, and cephalometric records.The gender, model variables, an
Autor:
Nir Lipovetzky, Sebastian Sardina
Publikováno v:
IEEE Transactions on Games. 11:296-299
In this letter, we report on the use of the UC-Berkeley Pacman Capture the Flag competition as a major assessment component in two large artificial intelligence (AI) courses. Teams of students are to integrate AI techniques to control the behavior of
Autor:
Peta Masters, Sebastian Sardina
Publikováno v:
Journal of Artificial Intelligence Research. 64:197-242
Goal recognition is the problem of determining an agent's intent by observing her behaviour. Contemporary solutions for general task-planning relate the probability of a goal to the cost of reaching it. We adapt this approach to goal recognition in t
Publikováno v:
IJCAI
This work investigates the problem of optimising a partial-order plan’s (POP) flexibility through the simultaneous transformation of its action ordering and variable binding constraints. While the former has been extensively studied through the not
The problem of probabilistic goal recognition consists of automatically inferring a probability distribution over a range of possible goals of an autonomous agent based on the observations of its behavior. The state-of-the-art approaches for probabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b34dd8a850f1cf1cd11a70478aed406
Publikováno v:
Scopus-Elsevier
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
We contribute to recent efforts in relating two approaches to automatic synthesis, namely, automated planning and discrete reactive synthesis. First, we develop a declarative characterization of the standard “fairness” assumption on environments
Publikováno v:
Journal of Advances in Information Technology. 9:1-9