Results 111 to 120 of about 63,611 (263)
Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity
ABSTRACT We investigate the assortment planning decisions of a retailer that operates an online sales channel and a brick‐and‐mortar store. We explicitly investigate the impact of product returns, which is a norm in modern retailing and a factor for lost profit.
Amin Aslani, Osman Alp
wiley +1 more source
Extracting the names of genes and gene products with a hidden Markov model [PDF]
Nigel Collier +2 more
openalex +1 more source
Animal movement and reproductive behaviour are crucial components of ecological and evolutionary processes. After parturition, the behaviour of reproducing females adapts to the needs of their offspring, including thermoregulation, protection and food provisioning.
Naima Dalpiaz +17 more
wiley +1 more source
Quantitative analysis of peroxisome tracks using a Hidden Markov Model. [PDF]
Svensson CM +5 more
europepmc +1 more source
A hidden Markov model for downscaling synoptic atmospheric patterns to precipitation amounts [PDF]
Enrica Bellone, JP Hughes, Peter Guttorp
openalex +1 more source
Structural Variability of Pfam Domains Based on Alphafold2 Predictions
ABSTRACT Understanding the biological functions of proteins is one of the main goals of functional genomics. Such understanding will help control and manipulate biological processes to enhance desirable traits, including improved abiotic and biotic stress resistance in humans, animals, plants, and microbes.
Elly Poretsky +2 more
wiley +1 more source
Modeling long‐term persistence in hydroclimatic time series using a hidden state Markov Model [PDF]
Mark Thyer, George Kuczera
openalex +1 more source
Lumpable hidden Markov models-model reduction and reduced complexity filtering [PDF]
L.B. White, Robert Mahony, G.D. Brushe
openalex +1 more source
Quantum‐Noise‐Driven Generative Diffusion Models
Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi +2 more
wiley +1 more source
A hidden Markov model approach to neuron firing patterns
Anne‐Claude Camproux +4 more
openalex +1 more source

