Results 41 to 50 of about 146,182 (300)
CoRR, 2017 The recently proposed "generalized min-max" (GMM) kernel can be efficiently linearized, with direct applications in large-scale statistical learning and fast near neighbor search. The linearized GMM kernel was extensively compared in with linearized radial basis function (RBF) kernel.
openaire +2 more sources
Real Time Recognition Of Speakers From Internet Audio Stream
Foundations of Computing and Decision Sciences, 2015 In this paper we present an automatic speaker recognition technique with the use of the Internet radio lossy (encoded) speech signal streams. We show an influence of the audio encoder (e.g., bitrate) on the speaker model quality.
Weychan Radoslaw +3 more
doaj +1 more source
The GMM Parameter Normalization Puzzle [PDF]
Finance and Economics Discussion Series, 1997 A feature of GMM estimation--the use of a consistent estimate of the optimal weighting matrix rather than the joint estimation of the model parameters and the weighting matrix--can lead to the sensitivity of GMM estimation to the choice of parameter normalization.
openaire +2 more sources
Symmetrically normalized instrumental-variable estimation using panel data [PDF]
, 1996 In this paper we discuss the estimation of panel data models with sequential moment restrictions using symmetrically normalized GMM estimators. These estimators are asymptotically equivalent to standard GMM but are invariant to normalization and tend to ...
Alonso-Borrego, César +1 more
core +1 more source
Supporting Survivor‐Centered Care Through Digital Health Integration
Pediatric Blood &Cancer, EarlyView.ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak +15 more
wiley +1 more source
Gut microbial metabolite functional screening platform
生物医学转化, 2022 Human gut microbial metabolites are closely related to the physiological functions of the human body, and the exploration of the functions of these small molecules is an ongoing topic for researchers. With the development of metagenomics and metabolomics,
Li Zhunduo, Sun Hui
doaj +1 more source
GMM Estimation with Noncausal Instruments [PDF]
SSRN Electronic Journal, 2009 Lagged variables are often used as instruments when the generalized method of moments (GMM) is applied to time series data. We show that if these variables follow noncausal autoregressive processes, their lags are not valid instruments and the GMM estimator is inconsistent.
Lanne Markku, Saikkonen Pentti
openaire +3 more sources
Porting concepts from DNNs back to GMMs [PDF]
, 2013 Deep neural networks (DNNs) have been shown to outperform Gaussian Mixture Models (GMM) on a variety of speech recognition benchmarks. In this paper we analyze the differences between the DNN and GMM modeling techniques and port the best ideas from the ...
Demuynck, Kris, Triefenbach, Fabian
core +1 more source
Arthritis Care &Research, EarlyView.Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source