Results 61 to 70 of about 67,782 (253)

HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model

Frontiers in Robotics and AI, 2019
Humans perceive continuous high-dimensional information by dividing it into meaningful segments, such as words and units of motion. We believe that such unsupervised segmentation is also important for robots to learn topics such as language and motion ...
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano   +6 more
doaj   +1 more source

Detecting Anomalous Behavior in Cloud Servers by Nested-Arc Hidden SEMI-Markov Model with State Summarization

IEEE Transactions on Big Data, 2019
Anomaly detection for cloud servers is important for detecting zero-day attacks. However, it is very challenging due to the large amount of accumulated data.
Waqas Haider, Jiankun Hu, Yi Xie, Xinghuo Yu, Qianhong Wu   +4 more
semanticscholar   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data

IEEE Access, 2020
Failure prognostics aims at predicting the object equipment's future degradation trend and derives the remaining useful life with a predefined failure threshold.
Jie Liu
doaj   +1 more source

A hidden semi-Markov model for indoor radio source localization using received signal strength

Signal Processing, 2020
Multipath propagation makes the use of received signal strength (RSS) unreliable as a signal propagation model for localization of a radio source based on RSS data.
Shuai Sun, Xuezhi Wang, B. Moran, Wayne S. T. Rowe   +3 more
semanticscholar   +1 more source

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

Biological Reviews, EarlyView.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins, Mark C. Nikolic, James D. Holmes, Daniela S. Monti, Ernesto E. Vargas‐Parra, Russell D.C. Bicknell, Gregory D. Edgecombe, Katherine Jordan‐Burmeister, John R. Paterson, Shravya Srivastava‐Losey   +9 more
wiley   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Application of Hidden Markov and Hidden Semi-Markov Models to Financial Time Series [PDF]

, 2022
Hidden Markov Modelle (HMMs) und Hidden Semi-Markov Modelle (HSMMs) erlauben die Modellierung verschiedenster univariater und multivariater Zeitreihen. Obgleich das Interesse an diesem Modelltyp in den vergangenen Jahren stetig gewachsen ist und zahlreiche wissenschaftliche Beiträge sowohl zu theoretischen als auch zu praktischen Aspekten ...
Bulla, Jan, Zucchini, Walter, Zucchini, Walter, Georg-August-Universität Göttingen, Zucchini, Walter, Hering, Heinrich, Benner, Wolfgang   +6 more
openaire   +2 more sources

Antarctic soil microbiomes encode structurally conserved and phylogenetically diverse beta‐lactamases

iMetaOmics, EarlyView.
An integrative metagenomic framework combining sequence, structural, and functional inference reveals a phylogenetically diverse and structurally conserved repertoire of putative beta‐lactamases across Antarctic soil microbiomes, with predominance of class A and subclass B3 enzymes and limited but detectable associations with mobile genetic elements ...
José Coche‐Miranda, Patricio Arros, Nicolás Canales, Camilo Berríos‐Pastén, Gastón Azziz, Rosalba Lagos, Julieta Orlando, Francisco P. Chávez, Andrés E. Marcoleta   +8 more
wiley   +1 more source

Non-stationary data segmentation with hidden evidential semi-Markov chains [PDF]

, 2023
International audienceHidden Markov chains (HMCs) are widely used in unsupervised Bayesian hidden discrete data restoration. They are very robust and, in spite of their simplicity, they are sufficiently efficient in many cases.
Clément Fernandes, Wojciech Pieczynski, Fernandes, Clément, Pieczynski, Wojciech   +3 more
core   +1 more source