Results 101 to 110 of about 4,859,475 (319)
Simplifying decision trees [PDF]
International Journal of Man-Machine Studies, 1987 Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity and are therefore incomprehensible to experts.
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Advanced Engineering Materials, EarlyView.The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
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Advanced Engineering Materials, EarlyView.Bimetallic structures of Inconel 718 and CuCrZr are fabricated using the laser powder directed energy deposition method. The study reveals a strong dependence of interface characteristics such as width and interfusion on processing and heat treatment strategies.
Hamidreza Javidrad, Bahattin Koc
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Unsupervised Decision Trees for Axis Unimodal Clustering
InformationThe use of decision trees for obtaining and representing clustering solutions is advantageous, due to their interpretability property. We propose a method called Decision Trees for Axis Unimodal Clustering (DTAUC), which constructs unsupervised binary ...
Paraskevi Chasani, Aristidis Likas
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, 2001 This paper addresses the issue of the induction of orthogonal, oblique and multivariate decision trees. Algorithms proposed by other researchers use heuristic, usually based on the information gain concept, to induce decision trees greedily. These algorithms are often tailored for a given tree type ( e.g orthogonal), not being able to induce other ...
Llorà Fàbrega, Xavier +1 more
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On Decision Trees, Influences, and Learning Monotone Decision Trees
, 2004 In this note we prove that a monotone boolean function computable by a decision tree of size s has average sensitivity at most √ log2 s. As a consequence we show that monotone functions are learnable to constant accuracy under the uniform distribution in time polynomial in their decision tree size.
O'Donnell, Ryan, Servedio, Rocco Anthony
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Advanced Engineering Materials, EarlyView.A machine learning‐driven framework is introduced to optimize 3D‐printable microneedles for enhanced tissue anchoring and reduced insertion damage. The optimized design achieves a 6.0‐fold improvement in pull‐out‐to‐penetration energy ratio over conventional shapes.
Jegyeong Ryu +5 more
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3D Bioprinting of Thick Adipose Tissues with Integrated Vascular Hierarchies
Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.An advanced 3D bioprinting technique is used here to create thick adipose tissues with a central, vessel and extensive branching. The construct is made using alginate, gelatin and collagen‐based bioinks. Flow through the complex vessel network is demonstrated as well as its successful integration with a femoral artery following implantation in a rat ...
Idit Goldfracht +5 more
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Minimizing Size of Decision Trees for Multi-label Decision Tables [PDF]
Annals of computer science and information systems, 2014 Mohammad Azad, Mikhail Moshkov
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