Results 111 to 120 of about 66,463 (260)
Human infants can discover words directly from unsegmented speech signals without any explicitly labeled data. In this paper, we develop a novel machine learning method called nonparametric Bayesian double articulation analyzer (NPB-DAA) that can ...
Nagasaka, Shogo +2 more
core +1 more source
Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant +11 more
wiley +1 more source
Based on the dynamic properties of electrical connector intermittent failure, the model and methods for residual life prediction for electrical connectors are studied in this paper.
Qian Li +3 more
doaj +1 more source
ABSTRACT Alnus glutinosa is one of only three lineages within the order Fagales capable of establishing root nodule symbiosis (RNS). Although a fragmented genome assembly of A. glutinosa was previously available, its limited quality, combined with the lack of comprehensive transcriptomic resources, has constrained in‐depth comparative and functional ...
Zijian Liu +11 more
wiley +1 more source
Inference in Hidden Markov Models with Explicit State Duration Distributions
In this letter we borrow from the inference techniques developed for unbounded state-cardinality (nonparametric) variants of the HMM and use them to develop a tuning-parameter free, black-box inference procedure for Explicit-state-duration hidden Markov ...
Dewar, Michael +2 more
core +2 more sources
On-line apnea-bradycardia detection using hidden semi-Markov models
In this work, we propose a detection method that exploits not only the instantaneous values, but also the intrinsic dynamics of the RR series, for the detection of apnea-bradycardia episodes in preterm infants. A hidden semi-Markov model is proposed to represent and characterize the temporal evolution of observed RR series and different pre-processing ...
Altuve, Miguel +4 more
openaire +4 more sources
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
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 +4 more
wiley +1 more source
The study investigated how the horizontal structure and functional composition of grassland vegetation influence the occupancy and density of the highly endangered Hungarian meadow viper. Using plant community data and viper surveys from 59 quadrats, the best models showed that vipers prefer wetter meadows with fewer and shorter plant species, and a ...
Mátyás Budai +13 more
wiley +1 more source
A cross-center smoothness prior for variational Bayesian brain tissue segmentation
Suppose one is faced with the challenge of tissue segmentation in MR images, without annotators at their center to provide labeled training data. One option is to go to another medical center for a trained classifier.
A Opbroek Van +18 more
core +1 more source
Evolution of Peripheral Visual System in the Apoidea: A Role for Food Item Mobility?
Since larger compound eyes and ocelli altogether improve vision, one may expect that insects specialised in chasing very mobile resources possess such morphological optimisation. By analysing 77 species of bees and wasps, we have found that wasps had larger eyes, but not larger ocelli, than bees.
Chiara Francesca Trisoglio +4 more
wiley +1 more source

