Results 81 to 90 of about 1,480,093 (371)

Suboptimal Solution Path Algorithm for Support Vector Machine [PDF]

, 2011
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimization problems in machine learning.
Karasuyama, Masayuki, Takeuchi, Ichiro
core   +1 more source

SUPPORT VECTOR MACHINE FOR HYDRAULIC SUPPORT RELIABILITY PREDICTION

Jixie qiangdu, 2017
In order to enhance the competitiveness of the domestic hydraulic support. It is imperative to carry out reliability engineering. The reliability evaluation of the hydraulic support in service can effectively provide reference for the development and ...
DING Fei, WANG Qian, ZHANG LiRong, WANG ChunHua   +3 more
doaj  

TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE

Tạp chí Khoa học Đại học Đà Lạt, 2019
The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These
Lê Thị Minh Nguyện
doaj   +1 more source

Data-Driven Diagnosis of Cervical Cancer With Support Vector Machine-Based Approaches

IEEE Access, 2017
Cervical cancer, as the fourth most common cause of death from cancer among women, has no symptoms in the early stage. There are few methods to diagnose cervical cancer precisely at present.
Wen Wu, Hao Zhou
semanticscholar   +1 more source

Towards Emotion Recognition: A Persistent Entropy Application

, 2018
Emotion recognition and classification is a very active area of research. In this paper, we present a first approach to emotion classification using persistent entropy and support vector machines. A topology-based model is applied to obtain a single real
A Geron, A Ortony, A Zomorodian, AS Popova, B Schuller, B Yang, C Cortes, D Ververidis, DM Howard, E Globerson, G Bredon, H Edelsbrunner, J Russell, K Pearson, L Wasserman, M Rucco, N Cristianini, SR Livingstone   +17 more
core   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

KLASIFIKASI SMS SPAM MENGGUNAKAN SUPPORT VECTOR MACHINE

Pilar Nusa Mandiri, 2019
It is now common for a cellphone to receive spam messages. Great number of received messages making it difficult for human to classify those messages to Spam or no Spam.
Agus Setiyono, Hilman F Pardede
doaj   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Meta-analytic support vector machine for integrating multiple omics data

BioData Mining, 2017
Of late, high-throughput microarray and sequencing data have been extensively used to monitor biomarkers and biological processes related to many diseases.
Sunghwan Kim, Jae-Hwan Jhong, Jungjun Lee, J. Koo   +3 more
semanticscholar   +1 more source

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

Advanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez, Nicolás Alcaraz, Karla Torres‐Arciga, José Antonio Ocampo‐Cervantes, Alejandra Cervera, Clementina Castro‐Hernández, Cynthia Gabriela Sámano‐Salazar, Ernesto Soto‐Reyes, Rodrigo González‐Barrios   +8 more
wiley   +1 more source