Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Attilio Giordana"'
Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machi
Publikováno v:
Phase Transitions in Machine Learning. :339-350
In Chapter 9 we claimed that there is experimental evidence that in real-world applications also, where examples are not randomly generated, discriminant hypotheses found by relational learners lie on the phase transition edge. In order to support th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dc7e73d7091fbdf371bd0ce86424dbf
https://doi.org/10.1017/cbo9780511975509.017
https://doi.org/10.1017/cbo9780511975509.017
Publikováno v:
Phase Transitions in Machine Learning. :351-354
It is easy to produce a probability function that exhibits a very steep transition between the values 0 and 1. Take for instance a binary tree corresponding to the exploration graph of a two-player game with a constant branching factor b . Each node
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ef6bcfee565bff48fda7199da3dd41
https://doi.org/10.1017/cbo9780511975509.018
https://doi.org/10.1017/cbo9780511975509.018
Autor:
Lorenza Saitta, Attilio Giordana
Publikováno v:
Machine Learning. 41:217-251
One of the major limitations of relational learning is due to the complexity of verifying hypotheses on examples. In this paper we investigate this task in light of recent published results, which show that many hard problems exhibit a narrow “phas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ba28f91ce2a7bd7760019a00e5c2d0
https://doi.org/10.1023/a:1007620705405
https://doi.org/10.1023/a:1007620705405
Autor:
Attilio Giordana, G. Lo Bello
Publikováno v:
Fundamenta Informaticae. 35:163-177
Genetic Algorithms have been proposed by many authors for Machine Learning tasks. In fact, they are appealing for several different reasons, such as the flexibility, the great exploration power, and the possibility of exploiting parallel processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf5975a3e8311c43082c4ab1988cd97
https://doi.org/10.3233/fi-1998-35123409
https://doi.org/10.3233/fi-1998-35123409
Publikováno v:
Machine Learning. 27:209-240
This paper describes a representation framework that offers a unifying platform for alternative systems, which learn concepts in First Order Logics. The main aspects of this framework are discussed. First of all, the separation between the hypothesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df69c16e98670e3cabfe7ec4323cfc37
https://doi.org/10.1023/a:1007361708126
https://doi.org/10.1023/a:1007361708126
Publikováno v:
AIIP/Semantic Cities@IJCAI
In this paper we describe a motion detection module, which is part of Horus, a video surveillance system already deployed in field. The module integrates and improves upon existing algorithms, whose combination proves to be particularly effective in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e18300cf8427a08c01c8354098fed2a9
https://doi.org/10.1145/2516911.2516921
https://doi.org/10.1145/2516911.2516921
Autor:
Filippo Neri, Attilio Giordana
Publikováno v:
AI Communications. 9:21-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8edf53e474e38ebeb06ad106f9ec442
https://doi.org/10.3233/aic-1996-9103
https://doi.org/10.3233/aic-1996-9103
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642346231
ISMIS
ISMIS
Home automation poses requirements, which are typically solved by AI methods. The paper focuses on the problem of protecting video-surveillance systems against tampering actions, and proposes a new algorithm. This is based on a model of the environme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83c16e1eb1418993c23e4173bdaadf6a
https://doi.org/10.1007/978-3-642-34624-8_1
https://doi.org/10.1007/978-3-642-34624-8_1
Publikováno v:
AIRTC
This paper presents an approach to integrated acquistion, evaluation, tuning, and execution of elementary skills in order to ease programming and employment of robots. To allow the use of machine learning techniques as well as real-time execution of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::754ba559f4340910cfd2c65dc2b97efd
https://doi.org/10.1016/0066-4138(94)90052-3
https://doi.org/10.1016/0066-4138(94)90052-3