Buscar
Mostrando ítems 11-20 de 487
A multi-agent approach to monitor and manage container-based distributed systems
(2022-01-01)
The software architectures' evolution over the years has brought new challenges for the software development area. New architectural styles have emerged, such as microservice architecture and container-based distributed ...
An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning.
(Association for Computing Machinery - ACMNew York, 2014-08)
Unsupervised models can provide supplementary soft constraints to help classify new “target” data because similar instances in the target set are more likely to share the same class label. Such models can also help detect ...
Temperature-Based Deep Boltzmann Machines
(Springer, 2018-08-01)
Deep learning techniques have been paramount in the last years, mainly due to their outstanding results in a number of applications, that range from speech recognition to face-based user identification. Despite other ...
Computer game-based and traditional learning method: a comparison regarding students’ knowledge retention
(2013)
Abstract
Background
Educational computer games are examples of computer-assisted learning objects, representing an educational ...
Reducing hardware hit by queries in web search engines
(Pergamon-Elsevier Science Ltd, 2016-11)
In this paper, we introduce a new collection selection strategy to be operated in search engines with document partitioned indexes. Our method involves the selection of those document partitions that are most likely to ...
Critical behavior in a cross-situational lexicon learning scenario
(EPL ASSOCIATION, EUROPEAN PHYSICAL SOCIETYMULHOUSE, 2012-09)
The associationist account for early word learning is based on the co-occurrence between referents and words. Here we introduce a noisy cross-situational learning scenario in which the referent of the uttered word is ...
Technology gap, real wages, and learning in a balance-of-payments-constrained growth model
(M E Sharpe IncArmonkEUA, 2007)
Study on Machine Learning Techniques for Botnet Detection
(Ieee-inst Electrical Electronics Engineers Inc, 2020-05-01)
This paper presents a study on the application of machine learning techniques for botnet detection, compromised computer networks controlled by an attacker in order to perform malicious activities, such as distributed ...
Learning Markov Network Structures Constrained by Context-Specific Independences
(World Scientific, 2014-12)
This work focuses on learning the structure of Markov networks from data. Markov networks are parametric models for compactly representing complex probability distributions. These models are composed by: a structure and ...
A guidance of data stream characterization for meta-learning
(2017-01-01)
The problem of selecting learning algorithms has been studied by the meta-learning community for more than two decades. One of the most important task for the success of a meta-learning system is gathering data about the ...