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08/03/2023
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods
This paper introduces two novel approaches for Online Multi-Task Learnin...
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03/23/2023
OFA^2: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search
Once-for-All (OFA) is a Neural Architecture Search (NAS) framework desig...
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03/07/2020
New advances in enumerative biclustering algorithms with online partitioning
This paper further extends RIn-Close_CVC, a biclustering algorithm capab...
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10/17/2018
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets
RIn-Close_CVC is an efficient (take polynomial time per bicluster), comp...
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10/09/2017
Efficient mining of maximal biclusters in mixed-attribute datasets
This paper presents a novel enumerative biclustering algorithm to direct...
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01/30/2017
Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning
Future projection of climate is typically obtained by combining outputs ...
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01/29/2017
An Extremal Optimization approach to parallel resonance constrained capacitor placement problem
Installation of capacitors in distribution networks is one of the most u...
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02/03/2016
Single-Solution Hypervolume Maximization and its use for Improving Generalization of Neural Networks
This paper introduces the hypervolume maximization with a single solutio...
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11/10/2015
Reducing the Training Time of Neural Networks by Partitioning
This paper presents a new method for pre-training neural networks that c...
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03/22/2015
