Results 51 to 60 of about 557,766 (311)
Research on Marketing Prediction Model Based on Markov Prediction
Wireless Communications and Mobile Computing, 2021 Many activities in modern business marketing management are random and repetitive. The marketing effect is constantly influenced by a variety of factors such as changing market supply and demand, customers’ purchase intentions, and national financial ...
Haiying Chen +4 more
semanticscholar +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
A cyclic time-dependent Markov process to model daily patterns in wind turbine power production [PDF]
, 2013 Wind energy is becoming a top contributor to the renewable energy mix, which raises potential reliability issues for the grid due to the fluctuating nature of its source.
Estanqueiro, Ana +2 more
core +2 more sources
Advanced Science, EarlyView.Integrated omics analysis of matched primary and liver metastatic NPC tumors reveals a unique NOTCH1+ CSC subpopulation exhibiting enhanced stemness properties and tumorigenic capacity. With in vitro and in vivo assays, exosomal transfer of tumor‐derived FTO from NOTCH1+ cells to the endothelium promotes vascular permeability and metastatic potential ...
Chun Wu +23 more
wiley +1 more source
Remote Sensing, 2010 In this contribution, a hybrid multi-contextual Markov model for unsupervised near real-time flood detection in multi-temporal X-band synthetic aperture radar (SAR) data is presented. It incorporates scale-dependent, as well as spatio-temporal contextual
André Twele, Sandro Martinis
doaj +1 more source
Experimental results : Reinforcement Learning of POMDPs using Spectral Methods [PDF]
, 2017 We propose a new reinforcement learning algorithm for partially observable Markov decision processes (POMDP) based on spectral decomposition methods.
Anandkumar, Animashree +2 more
core +1 more source
Advanced Science, EarlyView.Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen +10 more
wiley +1 more source
Bayesian Conditional Tensor Factorizations for High-Dimensional Classification [PDF]
, 2013 In many application areas, data are collected on a categorical response and high-dimensional categorical predictors, with the goals being to build a parsimonious model for classification while doing inferences on the important predictors.
Dunson, David B., Yang, Yun
core
Performance Analysis of a System with Bursty Traffic and Adjustable Transmission Times
, 2018 In this work, we consider the case where a source with bursty traffic can adjust the transmission duration in order to increase the reliability. The source is equipped with a queue in order to store the arriving packets.
Pappas, Nikolaos
core +1 more source
NEW APPROACHES FOR VERY SHORT-TERM STEADY-STATE ANALYSIS OF AN ELECTRICAL DISTRIBUTION SYSTEM WITH WIND FARMS [PDF]
, 2010 Distribution networks are undergoing radical changes due to the high level of penetration of dispersed generation. Dispersed generation systems require particular attention due to their incorporation of uncertain energy sources, such as wind farms, and ...
Angela Russo +9 more
core +2 more sources