75 citations · 245 across the 19 of their papers we have counts for
7 papers · 1 filter
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms
Rafael Gomes Mantovani, Tomáš Horváth, André L. D. Rossi +4
Machine learning algorithms often contain many hyperparameters (HPs) whose values affect the predictive performance of the induced models in intricate ways. Due to the high number…
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition
Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira +2
Human activity recognition (HAR) is a classification task that aims to classify human activities or predict human behavior by means of features extracted from sensors data. Typical…
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Algorithm selection using Metalearning aims to find mappings between problem characteristics (i.e. metafeatures) with relative algorithm performance to predict the best algorithm(s…
Characterizing classification datasets: a study of meta-features for meta-learning
Adriano Rivolli, Luís P. F. Garcia, Carlos Soares +2
Meta-learning is increasingly used to support the recommendation of machine learning algorithms and their configurations. Such recommendations are made based on meta-data, consisti…
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
To select the best algorithm for a new problem is an expensive and difficult task. However, there are automatic solutions to address this problem: using Metalearning, which takes a…
Strict Very Fast Decision Tree: a memory conservative algorithm for data stream mining
Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior
Dealing with memory and time constraints are current challenges when learning from data streams with a massive amount of data. Many algorithms have been proposed to handle these di…