Results 31 to 40 of about 1,097,077 (239)
Decision Tree Induction using Adaptive FSA
CLEI Electronic Journal, 2018 This paper introduces a new algorithm for the induction of decision trees, based on adaptive techniques. One of the main feature of this algorithm is the application of automata theory to formalize the problem of decision tree induction and the use of a ...
Hemerson Pistori, Joao Jose Neto
doaj +1 more source
Hardness and inapproximability results for minimum verification set and minimum path decision tree problems [PDF]
, 2012 Minimization of decision trees is a well studied problem. In this work, we introduce two new problems related to minimization of decision trees. The problems are called minimum verification set (MinVS) and minimum path decision tree (MinPathDT) problems.
Turker, Uraz Cengiz +3 more
core +1 more source
Decision tree-based Design Defects Detection
IEEE Access, 2021 Design defects affect project quality and hinder development and maintenance. Consequently, experts need to minimize these defects in software systems. A promising approach is to apply the concepts of refactoring at higher level of abstraction based on ...
Mohamed Maddeh +3 more
doaj +1 more source
Minimum Query Set for Decision Tree Construction
Entropy, 2021 A new two-stage method for the construction of a decision tree is developed. The first stage is based on the definition of a minimum query set, which is the smallest set of attribute-value pairs for which any two objects can be distinguished.
Wojciech Wieczorek +3 more
doaj +1 more source
An application of decision trees method for fault diagnosis of induction motors [PDF]
, 2006 Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree ...
Oh, Myung-Suck +2 more
core
Efficient algorithms for decision tree cross-validation
, 2001 Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward implementation of the technique is its computational overhead.
Blockeel, Hendrik, Struyf, Jan
core +4 more sources
Plasmodium falciparum gametogenesis essential protein 1 (GEP1) is a transmission‐blocking target
FEBS Letters, EarlyView.This study shows Plasmodium falciparum GEP1 is vital for activating sexual stages of malarial parasites even independently of a mosquito factor. Knockout parasites completely fail gamete formation even when a phosphodiesterase inhibitor is added. Two single‐nucleotide polymorphisms (V241L and S263P) are found in 12%–20% of field samples.
Frederik Huppertz +5 more
wiley +1 more source
Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles
EntropyThis study introduces a greedy algorithm for deriving decision rules from decision tree ensembles, targeting enhanced interpretability and generalization in distributed data environments.
Evans Teiko Tetteh, Beata Zielosko
doaj +1 more source
A Decision Tree for Rockburst Conditions Prediction
Applied Sciences, 2023 This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a ...
Dominic Owusu-Ansah +4 more
doaj +1 more source
Porting Decision Tree Algorithms to Multicore using FastFlow [PDF]
, 2010 The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine power, which can be only exploited via thread-level parallelism.
A.C. Sodan +17 more
core +5 more sources