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Št. zadetkov: 20
Application of the ultraviolet scanning elastic backscatter LiDAR for the investigation of aerosol variability
Fei Gao, Samo Stanič, Klemen Bergant, Ying Li, Songhui Li, Dengxin Hua, Longlong Wang
Izvirni znanstveni članek
Oznake: LIDAR;vertikalno pregledovanje;daljinsko zaznavanje;aerosoli;optične lastnosti;
Application of the ultraviolet scanning elastic backscatter LiDAR for the investigation of aerosol variability
Leto: 2015 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
A Marginalized Variational Bayesian Approach to the Analysis of Array Data
Yiming Ying
Video in druga učna gradiva
Oznake:
Leto: 2007 Vir: videolectures.net
Information Theoretic Kernel Integration
Yiming Ying
Video in druga učna gradiva
Oznake:
In this paper we consider a novel information-theoretic approach to multiple kernel learning based on minimising a Kullback-Leibler (KL) divergence between the output kernel matrix and the input kernel matrix. There are two formula- tions which we refer to as MKLdiv-dc and MKLdiv-conv. We propose ...
Leto: 2009 Vir: videolectures.net
AMPA receptor-mediated signaling acts on KATP channel and exocytosis in pancreatic beta-cells
Ying Shen
Video in druga učna gradiva
Oznake: medicine
Leto: 2010 Vir: videolectures.net
Scalable Heterogeneous Translated Hashing
Ying Wei
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
Hashing has enjoyed a great success in large-scale similarity search. Recently, researchers have studied the multi-modal hashing to meet the need of similarity search across different types of media. However, most of the existing methods are applied to search across multi-views among which explicit ...
Leto: 2014 Vir: videolectures.net
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features
Ying Shan
Video in druga učna gradiva
Oznake: computer science;data science
Manually crafted combinatorial features have been the "secret sauce" behind many successful models. For web-scale applications, however, the variety and volume of features make these manually crafted features expensive to create, maintain, and deploy. This paper proposes the Deep Crossing model whic ...
Leto: 2016 Vir: videolectures.net
Deep Embedding Forest: Forest­based Serving with Deep Embedding Features
Ying Shan
Video in druga učna gradiva
Oznake: data science;computer science
Deep Neural Networks (DNN) have demonstrated superior ability to extract high level embedding vectors from low level features. Despite the success, the serving time is still the bottleneck due to expensive run-time computation of multiple layers of dense matrices. GPGPU, FPGA, or ASIC-based serving ...
Leto: 2017 Vir: videolectures.net
Learning with Cost Intervals
Xu-Ying Liu
Video in druga učna gradiva
Oznake: computer science;artificial intelligence;databases
Existing cost-sensitive learning methods require that the unequal misclassification costs should be given as precise values. In many real-world applications, however, it is generally difficult to have a precise cost value since the user maybe only knows that one type of mistake is much more severe t ...
Leto: 2010 Vir: videolectures.net
Theory and application of naturally curved and twisted beams with closed thin-walled cross sections
Aimin Yu, Rongqiang Yang, Ying Hao
Izvirni znanstveni članek
Oznake: nosilci;deformacije;ukrivljenost;zvijanje;matematični modeli;
Leto: 2009 Vir: dLib.si Digitalna knjižnica Slovenije
QSAR analysis of 1,1-dioxoisothiazole and benzo[b]thiophene-1,1-dioxide derivatives as novel inhibitors of hepatitis C virus NS5B polymerase
Ke-Xian Chen, Hai-Ying Xie, Zu-Guang Li
Izvirni znanstveni članek
Oznake: organska kemija;hepatitis C;virusi;polimeraze;genetski algoritmi;
QSAR analysis of 1,1-dioxoisothiazole and benzobthiophene-1,1-dioxide derivatives as novel inhibitors of hepatitis C virus NS5B polymerase
Leto: 2009 Vir: dLib.si Digitalna knjižnica Slovenije
Št. zadetkov: 20
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