Zobrazeno 1 - 10
of 407
pro vyhledávání: '"von Zuben, Fernando"'
Publikováno v:
European Journal of Operational Research, 284(1), 53-66 (2020)
This work proposes a novel multi-objective optimization approach that globally finds a representative non-inferior set of solutions, also known as Pareto-optimal solutions, by automatically formulating and solving a sequence of weighted sum method sc
Externí odkaz:
http://arxiv.org/abs/2312.03899
This paper introduces two novel approaches for Online Multi-Task Learning (MTL) Regression Problems. We employ a high performance graph-based MTL formulation and develop two alternative recursive versions based on the Weighted Recursive Least Squares
Externí odkaz:
http://arxiv.org/abs/2308.01938
Autor:
Ito, Rafael C., Von Zuben, Fernando J.
Once-for-All (OFA) is a Neural Architecture Search (NAS) framework designed to address the problem of searching efficient architectures for devices with different resources constraints by decoupling the training and the searching stages. The computat
Externí odkaz:
http://arxiv.org/abs/2303.13683
This paper further extends RIn-Close_CVC, a biclustering algorithm capable of performing an efficient, complete, correct and non-redundant enumeration of maximal biclusters with constant values on columns in numerical datasets. By avoiding a priori p
Externí odkaz:
http://arxiv.org/abs/2003.04726
RIn-Close_CVC is an efficient (take polynomial time per bicluster), complete (find all maximal biclusters), correct (all biclusters attend the user-defined level of consistency) and non-redundant (all the obtained biclusters are maximal and the same
Externí odkaz:
http://arxiv.org/abs/1810.07725
Autor:
Piovezan, Rafael, de Azevedo, Thiago Salomão, Faria, Euler, Veroneze, Rosana, Von Zuben, Claudio José, Von Zuben, Fernando José, Sallum, Maria Anice Mureb
Publikováno v:
In Dialogues in Health December 2022 1
This paper presents a novel enumerative biclustering algorithm to directly mine all maximal biclusters in mixed-attribute datasets (containing both numerical and categorical attributes), with or without missing values. The proposal is an extension of
Externí odkaz:
http://arxiv.org/abs/1710.03289
Publikováno v:
European Journal of Operational Research, 284(1), 53-66 (2020)
This work proposes a novel multi-objective optimization approach that globally finds a representative non-inferior set of solutions, also known as Pareto-optimal solutions, by automatically formulating and solving a sequence of weighted sum method sc
Externí odkaz:
http://arxiv.org/abs/1709.00797
Future projection of climate is typically obtained by combining outputs from multiple Earth System Models (ESMs) for several climate variables such as temperature and precipitation. While IPCC has traditionally used a simple model output average, rec
Externí odkaz:
http://arxiv.org/abs/1701.08840
Installation of capacitors in distribution networks is one of the most used procedure to compensate reactive power generated by loads and, consequently, to reduce technical losses. So, the problem consists in identifying the optimal placement and siz
Externí odkaz:
http://arxiv.org/abs/1701.09046