Results 21 to 30 of about 283,145 (183)
Quantum adiabatic machine learning by zooming into a region of the energy surface [PDF]
, 2020 Recent work has shown that quantum annealing for machine learning, referred to as QAML, can perform comparably to state-of-the-art machine learning methods with a specific application to Higgs boson classification.
Job, Joshua +5 more
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Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites [PDF]
, 2014 This paper presents a spike-based model which employs neurons with functionally distinct dendritic compartments for classifying high dimensional binary patterns.
Basu, Arindam +2 more
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Voltage Stability Margin Index Estimation Using a Hybrid Kernel Extreme Learning Machine Approach
Energies, 2020 This paper presents a novel approach for Voltage Stability Margin (VSM) estimation that combines a Kernel Extreme Learning Machine (KELM) with a Mean-Variance Mapping Optimization (MVMO) algorithm.
Walter M. Villa-Acevedo +2 more
doaj +1 more source
Ensemble Learning for Free with Evolutionary Algorithms ? [PDF]
, 2007 Evolutionary Learning proceeds by evolving a population of classifiers, from which it generally returns (with some notable exceptions) the single best-of-run classifier as final result.
Gagné, Christian +3 more
core +4 more sources
Large-Margin Regularized Softmax Cross-Entropy Loss
IEEE Access, 2019 Softmax cross-entropy loss with L2 regularization is commonly adopted in the machine learning and neural network community. Considering that the traditional softmax cross-entropy loss simply focuses on fitting or classifying the training data accurately ...
Xiaoxu Li +3 more
doaj +1 more source
Performance Analysis of different Machine Learning Models for Intrusion Detection Systems
Journal of Engineering, 2022 In recent years, the world witnessed a rapid growth in attacks on the internet which resulted in deficiencies in networks performances. The growth was in both quantity and versatility of the attacks.
salim Qadir Mohammed +1 more
doaj +1 more source
PLOS Computational Biology, 2020 AbstractComplete resection of the tumor is important for survival in glioma patients. Even if the gross total resection was achieved, left-over micro-scale tissue in the excision cavity risks recurrence. High Resolution Magic Angle Spinning Nuclear Magnetic Resonance (HRMAS NMR) technique can distinguish healthy and malign tissue efficiently using peak
Doruk Cakmakci +7 more
openaire +5 more sources
, 2018 Machine learning qualifies computers to assimilate with data, without being solely programmed [1, 2]. Machine learning can be classified as supervised and unsupervised learning.
Arif, Rezoana Bente +3 more
core +1 more source
, 2020 Current LTE network is faced with a plethora of Configuration and Optimization Parameters (COPs), both hard and soft, that are adjusted manually to manage the network and provide better Quality of Experience (QoE).
Imran, Ali +3 more
core +1 more source
On the consistency of Multithreshold Entropy Linear Classifier [PDF]
, 2015 Multithreshold Entropy Linear Classifier (MELC) is a recent classifier idea which employs information theoretic concept in order to create a multithreshold maximum margin model.
Czarnecki, Wojciech Marian
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