Results 31 to 40 of about 625,161 (250)
Post-training discriminative pruning for RBMs [PDF]
, 2017 One of the major challenges in the area of artificial neural networks is the identification of a suitable architecture for a specific problem. Choosing an unsuitable topology can exponentially increase the training cost, and even hinder network ...
Albornoz, Enrique Marcelo +3 more
core +1 more source
Generalized Sparse Discriminant Analysis for Event-Related Potential Classification [PDF]
, 2017 A brain computer interface (BCI) is a system which provides direct communication between the mind of a person and the outside world by using only brain activity (EEG).
Peterson, Victoria +2 more
core +1 more source
Improving clustering with metabolic pathway data [PDF]
, 2014 Background: It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge.
Carrari, Fernando Oscar +4 more
core +2 more sources
ConvGraph: Community Detection of Homogeneous Relationships in Weighted Graphs
Mathematics, 2021 This paper proposes a new method, ConvGraph, to detect communities in highly cohesive and isolated weighted graphs, where the sum of the weights is significantly higher inside than outside the communities.
Héctor Muñoz +4 more
doaj +1 more source
Inteligencia e intencionalidad
Scripta Theologica, 2017 Este artículo explora las dificultades de abordaje del problema de la inteligencia independiente de toda consideración intencional. Para ello, en primer lugar, examino tres interpretaciones clásicas del concepto de lo mental con el objetivo de mostrar sus principales carencias.
Echarte-Alonso, L.E. (Luis Enrique) +1 more
openaire +2 more sources
WEBDL: un sistema adaptativo de educación a distancia a través de Internet
RIED: Revista Iberoamericana de Educación a Distancia, 2000 La enseñanza universitaria a distancia se está beneficiando del uso intensivo de los recursos ofrecidos por Internet. La variedad de información y servicios ofertados unidos a la naturaleza dispar del alumnado dificultan el aprovechamiento de este medio.
Jesús González Boticario +2 more
doaj +1 more source
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series [PDF]
, 2017 The reconstruction of gene regulatory networks (GRNs) from genes profiles has a growing interest in bioinformatics for understanding the complex regulatory mechanisms in cellular systems.
Milone, Diego Humberto +2 more
core +1 more source
Mathematics, 2022 In this paper a comparative, coarse grained, entropy data analysis of multi-scale log-returns distribution, produced by an ideal “optimal trader” and one thousand “noise traders” performing “bucket shop” trading, by following four different financial ...
Alejandro Raúl Hernández-Montoya +3 more
doaj +1 more source
Paladyn, 2011 Reinforcement Learning (RL) as a paradigm aims to develop algorithms that allow to train an agent to optimally achieve a goal with minimal feedback information about the desired behavior, which is not precisely specified.
Graña Manuel +2 more
doaj +1 more source
Incremental Learning of Latent Forests
IEEE Access, 2020 In the analysis of real-world data, it is useful to learn a latent variable model that represents the data generation process. In this setting, latent tree models are useful because they are able to capture complex relationships while being easily ...
Fernando Rodriguez-Sanchez +2 more
doaj +1 more source