Results 41 to 50 of about 883,011 (303)
Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]
Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila+2 more
core +2 more sources
Multivariate decision trees [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carla E. Brodley, Paul E. Utgoff
openaire +3 more sources
Optimization of Signal Significance by Bagging Decision Trees [PDF]
An algorithm for optimization of signal significance or any other classification figure of merit suited for analysis of high energy physics (HEP) data is described.
Narsky, I.
core +2 more sources
Machine Learning Methods with Decision Forests for Parkinson’s Detection
Biomedical engineers prefer decision forests over traditional decision trees to design state-of-the-art Parkinson’s Detection Systems (PDS) on massive acoustic signal data.
Moumita Pramanik+4 more
doaj +1 more source
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Studies of Boosted Decision Trees for MiniBooNE Particle Identification
Boosted decision trees are applied to particle identification in the MiniBooNE experiment operated at Fermi National Accelerator Laboratory (Fermilab) for neutrino oscillations.
Aguilar+17 more
core +2 more sources
We investigate the seasonal dynamics of two freshwater snails, Biomphalaria straminea and Melanoides tuberculata, in artificial reservoirs of the Brazilian semiarid region. Despite regulated hydrology, B. straminea exhibited strong seasonal fluctuations associated with dry periods, while M. tuberculata maintained stable populations throughout the year,
Lucas Henrique Sousa da Silva+6 more
wiley +1 more source
Decision trees for regular factorial languages
In this paper, we study arbitrary regular factorial languages over a finite alphabet Σ. For the set of words L(n)of the length n belonging to a regular factorial language L, we investigate the depth of decision trees solving the recognition and the ...
Mikhail Moshkov
doaj
A Modified Random Forest Based on Kappa Measure and Binary Artificial Bee Colony Algorithm
Random forest (RF) is an ensemble classifier method, all decision trees participate in voting, some low-quality decision trees will reduce the accuracy of random forest.
Chen Zhang+5 more
doaj +1 more source