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DeepAI
@DeepAI
20 Mar 2023
🤯Lowkey Goated When Reinforcement Learning Is The Vibe🤯 Check out @doerlbh et al.'s paper on using AI Companions in psychotherapy with interpretable policy dynamics! 🤖#PrincipalComponentsAnalysis #ReinforcementLearning Link: deepai.org/publication/psych…

Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy...

03/16/23 - We introduce a Reinforcement Learning Psychotherapy AI Companion that generates topic recommendations for therapists based on pati...

deepai.org
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DeepAI
@DeepAI
2 Jan 2023
Tensor Principal Component Analysis deepai.org/publication/tenso… by Andrii Babii et al. #Tensor #PrincipalComponentsAnalysis
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DeepAI
@DeepAI
8 Nov 2022
A Riemannian ADMM deepai.org/publication/a-rie… by Jiaxiang Li et al. including @ShiqianMa #MachineLearning #PrincipalComponentsAnalysis
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J Synchrotron Rad@JSynchrotronRad
26 Oct 2022
M​. A. Z. Chowdhury et al.: ROI-Finder: machine learning to guide region-of-interest scanning for X-ray fluorescence microscopy #PrincipalComponentsAnalysis ... #IUCr scripts.iucr.org/cgi-bin/pap…
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arXiv Daily
@Arxiv_Daily
6 Oct 2022
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads deepai.org/publication/hip-f… by Xuewei Cao et al. including @CathyChenZhao #PrincipalComponentsAnalysis #LogisticRegression

Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads

10/03/22 - Hip fracture risk assessment is an important but challenging task. Quantitative CT-based patient specific finite element analysis ...

deepai.org
2
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arXiv Daily
@Arxiv_Daily
2 Oct 2022
Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector deepai.org/publication/hyper… by Puhong Duan et al. #PrincipalComponentsAnalysis #SupportVectorMachine

Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-...

09/28/22 - Oil spill detection has attracted increasing attention in recent years since marine oil spill accidents severely affect environmen...

deepai.org
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arXiv Daily
@Arxiv_Daily
24 Sep 2022
Algorithm-Agnostic Interpretations for Clustering deepai.org/publication/algor… by Christian A. Scholbeck et al. including @GiuCasalicchio #HighDimensionalData #PrincipalComponentsAnalysis

Algorithm-Agnostic Interpretations for Clustering

09/21/22 - A clustering outcome for high-dimensional data is typically interpreted via post-processing, involving dimension reduction and sub...

deepai.org
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DeepAI
@DeepAI
13 Sep 2022
Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals deepai.org/publication/openi… by Roman Josef Rainer et al. #PrincipalComponentsAnalysis #HighDimensionalData
3
arXiv Daily
@Arxiv_Daily
3 Sep 2022
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images deepai.org/publication/autoq… by Sergio Altares López et al. #Autoencoder #PrincipalComponentsAnalysis

AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic...

08/28/22 - We propose a new hybrid system for automatically generating and training quantum-inspired classifiers on grayscale images by using...

deepai.org
3
arXiv Daily
@Arxiv_Daily
26 Aug 2022
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices deepai.org/publication/on-co… by @TPopordanoska et al. #Statistics #PrincipalComponentsAnalysis

On confidence intervals for precision matrices and the eigendecomposition of covariance matrices

08/25/22 - The eigendecomposition of a matrix is the central procedure in probabilistic models based on matrix factorization, for instance pr...

deepai.org
2
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arXiv Daily
@Arxiv_Daily
8 Aug 2022
Unitary Approximate Message Passing for Matrix Factorization deepai.org/publication/unita… by Zhengdao Yuan et al. #PrincipalComponentsAnalysis #ComputerScience

Unitary Approximate Message Passing for Matrix Factorization

07/31/22 - We consider matrix factorization (MF) with certain constraints, which finds wide applications in various areas. Leveraging variati...

deepai.org
7
arXiv Daily
@Arxiv_Daily
2 Jul 2022
Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose deepai.org/publication/proba… by Supawit Chockchowwat et al. #GaussianMixtureModels #PrincipalComponentsAnalysis
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arXiv Daily
@Arxiv_Daily
24 Apr 2022
Condition Monitoring of Transformer Bushings Using Computational Intelligence deepai.org/publication/condi… by Joshua Tshifhiwa Maumela #DecisionTree #PrincipalComponentsAnalysis
1
arXiv Daily
@Arxiv_Daily
8 Mar 2022
Building 3D Generative Models from Minimal Data deepai.org/publication/build… by Skylar Sutherland et al. #PrincipalComponentsAnalysis #UnsupervisedLearning
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arXiv Daily
@Arxiv_Daily
7 Mar 2022
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring deepai.org/publication/explo… by Amirhossein Moallemi et al. including @LucaBeniniZhFe #AnomalyDetection #PrincipalComponentsAnalysis

Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring

03/04/22 - Modern real-time Structural Health Monitoring systems can generate a considerable amount of information that must be processed and...

deepai.org
3
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arXiv Daily
@Arxiv_Daily
1 Feb 2022
Deep Contrastive Learning is Provably (almost) Principal Component Analysis deepai.org/publication/deep-… by @tydsh #PrincipalComponentsAnalysis #LossFunction

Deep Contrastive Learning is Provably (almost) Principal Component Analysis

01/29/22 - We show that Contrastive Learning (CL) under a family of loss functions (including InfoNCE) has a game-theoretical formulation, wh...

deepai.org
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DeepAI
@DeepAI
3 Dec 2021
Quantum advantage in learning from experiments deepai.org/publication/quant… by Hsin-Yuan Huang et al. including @MikePerchCredit #Qubit #PrincipalComponentsAnalysis
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arXiv Daily
@Arxiv_Daily
25 Nov 2021
Feature selection or extraction decision process for clustering using PCA and FRSD deepai.org/publication/featu… by Jean-Sébastien Dessureault et al. #PrincipalComponentsAnalysis #SupervisedLearning
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DeepAI
@DeepAI
25 Nov 2021
Deep learning-based fast solver of the shallow water equations deepai.org/publication/deep-… by Mojtaba Forghani et al. including @jonghyunlee1993 #PrincipalComponentsAnalysis #ProbabilityDensityFunction
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arXiv Daily
@Arxiv_Daily
18 Nov 2021
A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model deepai.org/publication/a-dat… by Vahid Reza Gharehbaghi et al. #FeatureExtraction #PrincipalComponentsAnalysis
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