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Št. zadetkov: 8
Regular and orientably-regular maps with quasiprimitive automorphism groups on vertices
Robert Jajcay, Cai Heng Li, Jozef Širan, Yan Wang
Izvirni znanstveni članek
Oznake: regularen zemljevid;orientirano-regularen zemljevid;grupa avtomorfizmov;regular map;orientably-regular map;automorphism group;
Regular and orientably-regular maps with quasiprimitive automorphism groups on vertices
Leto: 2019 Vir: Univerza na Primorskem (UP)
Clustering and Projected Clustering with Adaptive Neighbors
Heng Huang
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
Many clustering methods partition the data groups based on the input data similarity matrix. Thus, the clustering results highly depend on the data similarity learning. Because the similarity measurement and data clustering are often conducted in two separated steps, the learned data similarity may ...
Leto: 2014 Vir: videolectures.net
Large-Scale Adaptive Semi-Supervised Learning via Unified Inductive and Transductive Model
Heng Huang
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
Most semi-supervised learning models propagate the labels over the Laplacian graph, where the graph should be built beforehand. However, the computational cost of constructing the Laplacian graph matrix is very high. On the other hand, when we do classification, data points lying around the decision ...
Leto: 2014 Vir: videolectures.net
Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping
Heng Huang
Video in druga učna gradiva
Oznake: computer science;data science
Feature selection is one of the most important data mining research topics with many applications. In practical problems, features often have group structure to effect the outcomes. Thus, it is crucial to automatically identify homogenous groups of features for high-dimensional data analysis. Octago ...
Leto: 2017 Vir: videolectures.net
Graph Helmholtzian and rank learning
Lek-Heng Lim
Video in druga učna gradiva
Oznake: computer science;machine learning;graphical models
The graph Helmholtzian is the graph theoretic analogue of the Helmholtz operator or vector Laplacian, in much the same way the graph Laplacian is the analogue of the Laplace operator or scalar Laplacian. We will see that a decomposition associated with the graph Helmholtzian provides a way to learn ...
Leto: 2008 Vir: videolectures.net
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform
Heng-­Tze Cheng
Video in druga učna gradiva
Oznake: computer science;data science
Creating and maintaining a platform for reliably producing and deploying machine learning models requires careful orchestration of many components—-a learner for generating models based on training data, modules for analyzing and validating both data as well as models, and finally infrastructure for ...
Leto: 2017 Vir: videolectures.net
Photocatalytic material–microbe hybrids
Yadong Yu, Shanshan Wang, Jinrui Teng, Anže Županič, Shuxian Guo, Xiaobin Tang, Heng Liang
Pregledni znanstveni članek
Oznake: nanodelci;molibden;reaktivne kisikove spojine;molekularna toksikologija;sanacija okolja;nanoparticles;molecular toxicology;environmental remediation;
Environmental pollution has become one of the most urgent global issues that we have to face now. Searching new technologies to solve environmental issues is of great significance. By intimately coupling photocatalytic materials with microbes, the emerging photocatalytic material–microbe hybrid (PMH ...
Leto: 2022 Vir: Nacionalni inštitut za biologijo (NIB)
In-situ monitoring of moisture ingress in PV modules using digital humidity sensors
Marko Jankovec, Federico Galliano, Eleonora Annigoni, Heng Yu Li, Fanny Sculati-Meillaud, Laure-Emmanuelle Perret-Aebi, Christophe Ballif, Marko Topič
Izvirni znanstveni članek
Oznake: inštrumenti;meritve;meritve vlage;merilni postopki;fotovoltaični moduli;instrumentation;measurements;humidity measurements;measurement techniques;photovoltaic modules;
In-situ monitoring of moisture ingress in PV modules using digital humidity sensors
Leto: 2016 Vir: Fakulteta za elektrotehniko (UL FE)
Št. zadetkov: 8
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