Results 31 to 40 of about 12,296,497 (289)
Asteroid Models from Multiple Data Sources
In the past decade, hundreds of asteroid shape models have been derived using the lightcurve inversion method. At the same time, a new framework of 3-D shape modeling based on the combined analysis of widely different data sources such as optical ...
Carry, B. +4 more
core +1 more source
Using Parsimonious Language Models on Web Data [PDF]
In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefore well suited for large-scale web retrieval.
Hiemstra, Djoerd +3 more
core +4 more sources
The Health Care Systems Research Network (HCSRN) is comprised of 20 learning health systems with embedded population-based research units. The network’s annual conference serves as a forum for research teams from member institutions to disseminate ...
Various authors
doaj +1 more source
Functional single index models for longitudinal data
A new single-index model that reflects the time-dynamic effects of the single index is proposed for longitudinal and functional response data, possibly measured with errors, for both longitudinal and time-invariant covariates.
Jiang, Ci-Ren, Wang, Jane-Ling
core +1 more source
A Theoretical Foundation for Count Data Models [PDF]
The paper develops a theoretical foundation for using count data models in travel cost analysis. Two micro models are developed: a restricted choice model and a repeated discrete choice model. We show that both models lead to identical welfare measures.
Daniel Hellerstein +3 more
core +8 more sources
What Drives Multi-Chain Crypto Forecasting: Model Choice, Feature Selection, and Transferability
Increasingly shaped by heterogeneous on-chain activity rather than a single shared market process, this study investigates 7-day-ahead forecasting using 147 market and on-chain indicators across eight major blockchain ecosystems from October 2023 to ...
Mingxing Wang +3 more
doaj +1 more source
Estimating panel data duration models with censored data [PDF]
This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty ...
Lee, S.
core
Building effective models from sparse but precise data [PDF]
A common approach in computational science is to use a set of of highly precise but expensive calculations to parameterize a model that allows less precise, but more rapid calculations on larger scale systems.
A. N. Tikhonov +6 more
core +1 more source
Several problems in specifying aggregate functions in relational systems are investigated. We propose a solution to these problems in the form of an extension of the relational data model. In particular we introduce the concept of summary data. The query language STRAND is presented in order to describe retrieval operations on the extended model ...
openaire +2 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source

