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    Authors ::

    Michael Laux

    8,831 posts •


    advanceddataanalytics.net advanceddataanalytics.net 2022-06-25 07:01

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    Noise Engineered Mode-matching GAN (NEMGAN) Conditional generation refers to the process of sampling from an unknown distribution...

    Michael Laux
    M Michael Laux
    3 min read
    advanceddataanalytics.net advanceddataanalytics.net 2022-06-24 09:03

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    Continuous Adaptive Blending (CAB) The ability to perform offline A/B-testing and off-policy learning using logged contextual bandit...

    Michael Laux
    M Michael Laux
    3 min read
    advanceddataanalytics.net advanceddataanalytics.net 2022-06-23 13:07

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    Deep Semantic Multimodal Hashing Network (DSMHN) Hashing has been widely applied to multimodal retrieval on large-scale multimedia data due...

    Michael Laux
    M Michael Laux
    3 min read
    advanceddataanalytics.net advanceddataanalytics.net 2022-06-22 05:23

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    Semantic View Selection An understanding of the nature of objects could help robots to solve both high-level abstract tasks and improve...

    Michael Laux
    M Michael Laux
    3 min read
    advanceddataanalytics.net advanceddataanalytics.net 2022-06-21 01:19

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    Graph Wavelet Neural Network (GWNN) We present graph wavelet neural network (GWNN), a novel graph convolutional neural network (CNN),...

    Michael Laux
    M Michael Laux
    3 min read
    advanceddataanalytics.net advanceddataanalytics.net 2022-06-20 05:23

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    TEST Tracking developments in the highly dynamic data-technology landscape are vital to keeping up with novel technologies and tools, in...

    Michael Laux
    M Michael Laux
    4 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-18 11:05

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    Approximate Random Dropout The training phases of Deep neural network (DNN) consume enormous processing time and energy. Compression techniques for inference acceleration leveraging the sparsity of DNNs, however, can be...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-17 11:05

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    Internet of NanoThing (IoNT) This chapter focuses on Internet of Things from the nanoscale point of view. The chapter starts with section 1 which provides an introduction of nanothings and nanotechnologies. The...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-16 03:21

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    End-Game-First Curriculum Humans tend to learn complex abstract concepts faster if examples are presented in a structured manner. For instance, when learning how to play a board game, usually one of the first concepts...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-15 05:23

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    Sequential Randomized Trial (SRT) Randomized experiments ensure robust causal inference that are critical to effective learning analytics research and practice. However, traditional randomized experiments, like A/B...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-13 13:07

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    DeepShift Deep learning models, especially DCNN have obtained high accuracies in several computer vision applications. However, for deployment in mobile environments, the high computation and power budget proves to be a...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-13 09:03

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    Tunnel Network Traditionally, deep learning algorithms update the network weights whereas the network architecture is chosen manually, using a process of trial and error. In this work, we propose two novel approaches...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-12 05:23

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    Net2Vis To properly convey neural network architectures in publications, appropriate visualization techniques are of great importance. While most current deep learning papers contain such visualizations, these are...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-10 11:05

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    Multi-Output Learning Multi-output learning aims to simultaneously predict multiple outputs given an input. It is an important learning problem due to the pressing need for sophisticated decision making in real-world...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-09 11:05

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    Markowitz Efficient Frontier In modern portfolio theory, the efficient frontier (or portfolio frontier) is an investment portfolio which occupies the ‘efficient’ parts of the risk-return spectrum. Formally, it is...

    Michael Laux
    M Michael Laux
    4 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-08 11:05

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    Doubly Aligned Incomplete Multi-View Clustering Algorithm (DAIMC) Nowadays, multi-view clustering has attracted more and more attention. To date, almost all the previous studies assume that views are complete. However,...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-07 09:03

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    Dense Quantum Measurement Quantum measurement is a fundamental cornerstone of experimental quantum computations. The main issues in current quantum measurement strategies are the high number of measurement rounds to...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-06 01:19

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    Hash2Vec In this paper we propose the application of feature hashing to create word embeddings for natural language processing. Feature hashing has been used successfully to create document vectors in related tasks like...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-05 13:07

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    Fast Library for Approximate Nearest Neighbors (FLANN) FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work...

    Michael Laux
    M Michael Laux
    2 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-04 13:07

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    Federated Edge Learning (FEEL) The popularity of mobile devices results in the availability of enormous data and computational resources at the network edge. To leverage the data and resources, a new machine learning...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-06-04 01:19

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    Adversarial-Neural Topic Model (ATM) Topic models are widely used for thematic structure discovery in text. But traditional topic models often require dedicated inference procedures for specific tasks at hand. Also,...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-05-30 09:03

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    QRkit Embedded computer vision applications increasingly require the speed and power benefits of single-precision (32 bit) floating point. However, applications which make use of Levenberg-like optimization can lose...

    Michael Laux
    M Michael Laux
    4 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-05-29 07:01

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    Convolutional Universal Text Information Extractor (CUTIE) Extracting key information from documents, such as receipts or invoices, and preserving the interested texts to structured data is crucial in the...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-05-28 03:21

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    Pairwise Median Scaled Difference (MSD) A new robust pairwise statistic, the pairwise median scaled difference (MSD), is proposed for the detection of anomalous location/uncertainty pairs in heteroscedastic...

    Michael Laux
    M Michael Laux
    3 min read
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    advanceddataanalytics.net advanceddataanalytics.net 2022-05-27 05:23

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    Stochastic Path-Integrated Differential EstimatoR (SPIDER) In this paper, we propose a new technique named Stochastic Path-Integrated Differential EstimatoR (SPIDER), which can be used to track many deterministic...

    Michael Laux
    M Michael Laux
    3 min read
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