Results 131 to 140 of about 524,166 (313)
Possibilistic Induction in Decision-Tree Learning [PDF]
, 2002 We propose a generalization of Ockham's razor, a widely applied principle of inductive inference. This generalization intends to capture the aspect of uncertainty involved in inductive reasoning. To this end, Ockham's razor is formalized within the framework of possibility theory: It is not simply used for identifying a single, apparently optimal model,
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Advanced Materials, EarlyView.Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen +14 more
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IEEE Access, 2018 In this paper, a differential-evolution-based approach implementing a global search strategy to find a near-optimal axis-parallel decision tree is introduced.
Rafael Rivera-Lopez, Juana Canul-Reich
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A Theory of Probabilistic Boosting, Decision Trees and Matryoshki [PDF]
arXiv, 2006 We present a theory of boosting probabilistic classifiers. We place ourselves in the situation of a user who only provides a stopping parameter and a probabilistic weak learner/classifier and compare three types of boosting algorithms: probabilistic Adaboost, decision tree, and tree of trees of ... of trees, which we call matryoshka.
arxiv
Learning Invariants using Decision Trees
, 2015 15 pages, 2 ...
Krishna, Siddharth +2 more
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Electron‐Beam‐Induced Adatom‐Vacancy‐Complexes in Mono‐ and Bilayer Phosphorene
Advanced Materials Interfaces, EarlyView.The stability of adatom‐vacancy‐complexes in mono‐ and bilayer phosphorene is shown via atomically‐resolved scanning transmission electron microscopy (STEM). With the help of density‐functional theory (DFT) simulations also several additional defect configurations were identified. Simulations are also used to understand defect dynamics.
Carsten Speckmann +9 more
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MicromachinesThis study investigates supervised learning to improve LED classification. A hardware system for testing was built. The data for learning were acquired and then analyzed to show their characteristics.
Heesoo Shim, Sun Kyoung Kim
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Advancement in Colloidal Metasurfaces: Approaches for Scalable Photonic Devices
Advanced Materials Interfaces, EarlyView.This perspective explores colloidal metasurfaces composed of plasmonic and emitting nanoparticles assembled by laser interference lithography and template‐assisted self‐assembly methods. Precise design strategies achieve directional emission, low‐threshold lasing, and tunable photonic bandgaps.
Sezer Seçkin +2 more
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Advanced Materials Technologies, EarlyView.This review provides an in‐depth overview of the design principles and optimization strategies for terahertz (THz) metamaterials (MMs) sensors based on the dielectric perturbation theory. Various structures and methods are explored to enhance sensor performance, focusing on improving sensitivity and Q‐factor.
Lei Cao +9 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.A novel self‐powered wearable pressure sensor is fabricated using chitosan‐ZnO composite piezoelectric film, achieving sensitivities of 70.71 mV/kPa and 471.43 mV Hz−1. This lightweight and biodegradable device emulates mechanoreceptors for applications such as object classification, wireless data transmission, and gesture recognition, offering an eco ...
Zhao Wang +5 more
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