Results 91 to 100 of about 43,162 (235)

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source

Efficacy, safety and cost‐effectiveness of CAR‐T therapy

British Journal of Clinical Pharmacology, EarlyView.
CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher, Amina Džidić‐Krivić, Emma Pinjic, Nejra Selak, Kanita Omerbasic, Alexandar Chupin, Andrej Belancic, Almir Fajkic   +7 more
wiley   +1 more source

A Personal Location Prediction Method Based on Individual Trajectory and Group Trajectory

IEEE Access, 2019
With the rapid development of communication technology, a large amount of spatiotemporal trajectory data has been produced. One of the critical applications of trajectory data is location prediction that is important for urban traffic planning and ...
Fan Li, Qingquan Li, Zhen Li, Zhao Huang, Xiaomeng Chang, Jizhe Xia   +5 more
doaj   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

Estimation and Forecasting of Sovereign Credit Rating Migration Based on Regime Switching Markov Chain

IEEE Access, 2019
Our research aims to develop the regime switching Markov chain (RSMC), a discrete time Markov chain whose underlying regime is depending on a hidden Markov model, which express the dynamics of sovereign credit rating migration.
Sung Youl Oh, Jae Wook Song, Woojin Chang, Minhyuk Lee   +3 more
doaj   +1 more source

Protein sequences clustering of herpes virus by using Tribe Markov clustering (Tribe-MCL) [PDF]

, 2017
Alhadi Bustamam, Titin Siswantining, N. L. Febriyani, I. D. Novitasari, Rosalia Deviana Cahyaningrum   +4 more
openalex   +1 more source

Clustering hidden Markov models with variational HEM

, 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.
Coviello, Emanuele, Chan, Antoni B., Lanckriet, Gert R. G.   +2 more
openaire   +2 more sources

Clustering risk in Non-parametric Hidden Markov and I.I.D. Models [PDF]

, 2023
Élisabeth Gassiat, Ibrahim Kaddouri, Zacharie Naulet   +2 more
openalex   +1 more source

Dynamic classification and multi-feature online aggregation method for electric vehicles oriented to V2G

电力工程技术
To address the issues of slow processing speed and low accuracy when a large number of electric vehicles (EVs) are integrated into the power grid under vehicle-to-grid (V2G) scenarios, a dynamic EV classification and multi-step Markov chain aggregation ...
Yang YU, Xueyao QIAN, Xiao CHEN, Chenrui LÜ, Yan WANG   +4 more
doaj   +1 more source

CLUSTERING: MARKOV ALGORITHM

Bukovinian Mathematical Journal, 2019
T. Knignitska, I. Malyk, M. Gorbatenko
openaire   +2 more sources