Results 61 to 70 of about 6,176,379 (373)
Frontiers in Oncology, 2022 BackgroundThe aim of this study was to derive and validate a decision tree model to predict disease-specific survival after curative resection for primary cholangiocarcinoma (CCA).MethodTwenty-one clinical characteristics were collected from 482 patients
Bing Quan +17 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
Assessing Decision Tree Stability: A Comprehensive Method for Generating a Stable Decision Tree
IEEE AccessObjectives: This paper proposes a novel stability metric for decision trees that does not rely on the elusive notion of tree similarity. Existing stability metrics have been constructed in a pairwise fashion to assess the tree similarity between two ...
Jeongeon Lee, Min Kyu Sim, Jung-Sik Hong
doaj +1 more source
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
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
Very Fast C4.5 Decision Tree Algorithm
Applied Artificial Intelligence, 2018 This paper presents a novel algorithm so-called VFC4.5 for building decision trees. It proposes an adaptation of the way C4.5 finds the threshold of a continuous attribute. Instead of finding the threshold that maximizes gain ratio, the paper proposes to
Anis Cherfi +2 more
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
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
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source