Results 61 to 70 of about 43,679 (257)

rEMM: Extensible Markov Model for Data Stream Clustering in R

Journal of Statistical Software, 2010
Clustering streams of continuously arriving data has become an important application of data mining in recent years and efficient algorithms have been proposed by several researchers. However, clustering alone neglects the fact that data in a data stream
Michael Hahsler, Margaret H. Dunham
doaj  

Clustering hidden Markov models with variational HEM

J. Mach. Learn. Res., 2012
The hidden Markov model (HMM) is a widely-used generative model that copes with sequential data, assuming that each observation is conditioned on the state of a hidden Markov chain. In this paper, we derive a novel algorithm to cluster HMMs based on the hierarchical EM (HEM) algorithm.
Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet   +2 more
openaire   +3 more sources

Social Clustering of Vehicles Based on Semi-Markov Processes [PDF]

IEEE Transactions on Vehicular Technology, 2016
The full text version attached to this record is the authors final peer reviewed version. The publisher's final version of record can be found by following the DOI link.
Leandros A. Maglaras, Dimitrios Katsaros 0001   +1 more
openaire   +2 more sources

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

Advanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng, Qi Yang, Jinze Li, Fuqiang Ma, Xuefeng Wang, Zhen Guo, Chuanyu Li, Dongshu Li, Jia Yao, Zhiqi Zhang, Wei Zhang, Lianqun Zhou   +11 more
wiley   +1 more source

Allosteric Regulation of Photophysics and Binding in Oxazine‐macrocycle Complexes at Single‐molecule Resolution

Angewandte Chemie, EarlyView.
This work explores the interactions between the oxazine dye ATTO655 and two macrocyclic hosts using optical (single‑molecule) spectroscopy. Although ATTO655 forms a classical inclusion complex with cucurbit[8]uril (CB8), its interaction with p‑sulfonatocalix[4]arene (sCX4) leads to the formation of dim exclusion complexes.
Siyu Lu, Thomas‐Otavio Peulen, Hongbin Wu, Florian Lindemann, Despoina Kapiki, Rasmus Linser, Andreas Hennig, Thorben Cordes   +7 more
wiley   +2 more sources

Markov Spectral Clustering Algorithm with DCBM for Community Detection

四川大学学报. 自然科学版, 2019
Spectral clustering algorithm is one of the classical community detection algorithms. Due to the current constructed similarity graphs carry less community structure information, the actual clustering effect has a big gap with the ideal clustering effect.
REN Shu-Xia, ZHANG Shu-Bo, WU Tao
doaj  

An Improved Spectral Clustering Community Detection Algorithm Based on Probability Matrix

Discrete Dynamics in Nature and Society, 2020
The similarity graphs of most spectral clustering algorithms carry lots of wrong community information. In this paper, we propose a probability matrix and a novel improved spectral clustering algorithm based on the probability matrix for community ...
Shuxia Ren, Shubo Zhang, Tao Wu
doaj   +1 more source

Targeting the ATX‐LPA Axis Overcomes TKI Resistance and Immunosuppression in Renal Cell Carcinoma via Dual Inhibition of AKT/mTOR and TBK1/IRF3 Pathways

Advanced Science, EarlyView.
ABSTRACT Background Therapeutic resistance limits durable survival in advanced/metastatic renal cell carcinoma (RCC) treated with first‐line tyrosine kinase inhibitor (TKI) plus immune checkpoint inhibitor (ICI). We sought to define key resistance drivers and actionable targets.
Jinchen Luo, Hansen Lin, Haoqian Feng, Lei Tan, Xi Liu, Yong Huang, Junjie Cen, Jiajie Chen, Xinwei Zhou, Mingjie Lin, Wuyuan Liao, Zheyu Ai, Minyu Chen, Yinghan Wang, Wei Chen, Junhang Luo, Yanping Liang   +16 more
wiley   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source