Results 31 to 40 of about 320,698 (271)

Comparative Analysis of Deterministic and Nondeterministic Decision Trees for Decision Tables from Closed Classes [PDF]

arXiv, 2023
In this paper, we consider classes of decision tables with many-valued decisions closed under operations of removal of columns, changing of decisions, permutation of columns, and duplication of columns. We study relationships among three parameters of these tables: the complexity of a decision table (if we consider the depth of decision trees, then the
arxiv  

Topology Optimization of Lattice Support Structure for Cantilever Beams Fabricated Via Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView., 2023
A numerical scheme is presented to design a lattice support for metallic components additively built via laser powder bed fusion. Results show that thermal‐induced distortion can be respectively reduced by 69%, 58%, and 50% in comparison to a uniform lattice, a fully solid support, and a truss‐based lattice support.
Jiazheng Hu, Marjan Molavi‐Zarandi, Damiano Pasini   +2 more
wiley   +1 more source

Optimization of the Decision Tree Method using Pruning on Liver Disease Classification

Journal of Applied Informatics and Computing, 2022
The amount of data about liver disease can be used to become information that can be extracted using the decision tree data mining method. However, there is a weakness in the decision tree method, namely over-fitting the resulting tree can produce a good
Anindya Khrisna Wardhani, Ega Nugraha, Qonita Ulfiana   +2 more
doaj   +1 more source

Assessing Decision Tree Stability: A Comprehensive Method for Generating a Stable Decision Tree

IEEE Access
Objectives: 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

Statistical analysis of various splitting criteria for decision trees

Journal of Algorithms & Computational Technology, 2023
Decision trees are frequently used to overcome classification problems in the fields of data mining and machine learning, owing to their many perks, including their clear and simple architecture, excellent quality, and resilience.
Fadwa Aaboub, Hasna Chamlal, Tayeb Ouaderhman   +2 more
doaj   +1 more source

Exploiting a knowledge base for intelligent decision tree construction to enhance classification power

Engineering and Applied Science Research, 2022
Decision Trees are a common approach used for classifying unseen data into defined classes. The Information Gain is usually applied as splitting criteria in the node selection process for constructing the decision tree.
Sirichanya Chanmee, Kraisak Kesorn
doaj  

A Local Approach to Studying the Time and Space Complexity of Deterministic and Nondeterministic Decision Trees [PDF]

arXiv, 2023
In this paper, we study arbitrary infinite binary information systems each of which consists of an infinite set called universe and an infinite set of two-valued functions (attributes) defined on the universe. We consider the notion of a problem over information system, which is described by a finite number of attributes and a mapping associating a ...
arxiv  

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, Kaouther Nouira, Ahmed Ferchichi   +2 more
doaj   +1 more source

On Laws of Thought—A Quantum-like Machine Learning Approach

Entropy, 2023
Incorporating insights from quantum theory, we propose a machine learning-based decision-making model, including a logic tree and a value tree; a genetic programming algorithm is applied to optimize both the logic tree and value tree.
Lizhi Xin, Kevin Xin, Houwen Xin
doaj   +1 more source

Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones

FEBS Letters, EarlyView.
Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley   +1 more source