Core Model
Robert Kern · Lecture notes in business information processing · 2014
Cited by 0
Search 250 million research papers
Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.
About 10,000 papers for “Core model”
Core model
Munch, Kasper, Gardner, Paul P, Arctander, Peter et al. · Figshare · 2011
<b>Copyright information:</b>Taken from "A hidden Markov model approach for determining expression from genomic tiling micro arrays"BMC Bioinformatics 2006;7():239-239.Published online 3 May 2006PMCID:PMC1481622. Boxes represent states emitting scores whereas circles represent linker states with no label and no emission. Arrows represent allowed transitions. States model expression and states model non-expression. The two colours used correspond to the two classes of states. Red states are trained on probes labelled as expressed. Blue states are trained on probes labelled as non-expressed.
Cited by 0Open access
Core model
Munch, Kasper, Gardner, Paul P, Arctander, Peter et al. · Figshare · 2011
<b>Copyright information:</b>Taken from "A hidden Markov model approach for determining expression from genomic tiling micro arrays"BMC Bioinformatics 2006;7():239-239.Published online 3 May 2006PMCID:PMC1481622. Boxes represent states emitting scores whereas circles represent linker states with no label and no emission. Arrows represent allowed transitions. States model expression and states model non-expression. The two colours used correspond to the two classes of states. Red states are trained on probes labelled as expressed. Blue states are trained on probes labelled as non-expressed.
Cited by 0Open access
The Core Model
A. Dodd · Cambridge University Press eBooks · 1982
The core model, K, is a generalization of Gödel's constructible universe of set theory; K is used to produce 'fine structural' results of a less restrictive kind. This book aims to introduce the core model to those with a basic knowledge of axiomatic set theory. The covering lemma for K is the main technical result but other applications are also considered. The author gives a full exposition of general fine structure and of iterated ultrapowers and concludes the work with a short section on the difficulties encountered in constructing more general core models using 'extenders'.
Cited by 79
The Core Model
Steven Brakman, Harry Garretsen, Charles van Marrewijk · Cambridge University Press eBooks · 2019
A comprehensive introduction to both urban and geographical economics: the two dominant approaches used to explain the distribution of economic activity across space. This fully revised and up-to-date third edition gives a full account of the ever-expanding body of knowledge and insights on urban and geographical economics, with an increased emphasis on analytical concepts and empirical methods, reflecting developments in the literature since the last edition. The authors provide both state-of-the-art theories and empirics, introducing new data, methods and models for this edition, including a whole chapter dedicated to measurement issues and empirical methods. Written in a style that is accessible to students who are new to the field, this textbook also includes more advanced concepts that will interest experienced researchers. Unrivalled in its scope and depth, this title is perfect for readers seeking to understand the uneven spatial distribution of economic activity between and within countries.
Cited by 0
The core model
Dodd, A · CERN Document Server (European Organization for Nuclear Research) · 1982
Cited by 0
Minimal Core Model
Jan Zdráhal · Zenodo (CERN European Organization for Nuclear Research) · 2026
Metadata completeness update (README alignment with specification references). No changes to formal model. Minimal Core Model defines a minimal ontological structure for admissible truth, admissible coexistence of truths, admissible succession of truths, and trajectory-indexed ordering. The model isolates a minimal structural substrate compatible with extensional state-based semantics while avoiding primitive assumptions regarding state identity, valuation structures, primitive temporal structure, and representation-dependent notions. Configurations are identified directly with admissible sets of atomic truths. Time is defined only as index of admissible succession along trajectories. Minimal Core Model provides a canonical minimal kernel compatible with transition systems, Kripke structures, and trace-based temporal semantics while preserving ontological minimality. The specification defines: invariants as atomic admissible truthsconfigurations as admissible sets of invariantsadmissible succession relation between configurationstrajectories as admissible sequences of configurationstime as trajectory index The specification deliberately does not introduce primitives for objects, relations, dimensions, space, topology, geometry, metrics, coordinates, causality, determinism, continuity, or representation structures. Minimal Core Model is intended as a foundational substrate for formal system specifications requiring minimal structural commitments.
Cited by 0Open access
Core-Periphery Model
Marco Maffezzoli, Federico Trionfetti, Marco Maffezzoli et al. · 2002
The opinion expressed in the working papers are those the authors alone, and not those of the Institute which takes non institutional policy position, nor of CEPR, NBER or Università Bocconi. Approximation Methods: an Application to the
Cited by 0
Substantial core model.
Nima Kianoush (543749), Christina J. Adler (237990), Ky-Anh T. Nguyen (543750) et al. · Figshare · 2015
<p>The pH-driven ‘substantial core model’ describes the influence of pH on the microbial population of carious lesions. The model was constructed from Random Forest analysis results (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092940#pone.0092940.s005" target="_blank">Table S5</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092940#pone.0092940.s006" target="_blank">S6</a>). Bacteria presented in the figure are discriminatory of pH values. Along the pH gradient, fewer bacterial species were distinctive of acidic pH ranges than neutral pH values (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092940#pone.0092940.s005" target="_blank">Table S5</a>). We found that 58% of dentine caries associated bacterial taxa were omnipresent and were not discriminated by pH. These comprise the core* part of this model (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092940#pone.0092940.s006" target="_blank">Table S6</a>).</p>
Cited by 0Open access
HTA CORE MODEL
R. I. Yagudina, T. Yu. Nor, A. D. Sevostyanov · SHILAP Revista de lepidopterología · 2015
The EUnetHTA Core Model is an electronic system of standardized health technology assessment, currently under development by EUnetHTA. The system is designed to be used within the EUnetHTA program countries (which include Austria, Belgium, Denmark, Finland, Bulgaria, Croatia, Cyprus, Czech Republic, Estonia and others). The Core Model software is currently under development, along with research and reporting methods. The HTA Core Model aim is to create a single database on health technologies, which might be used for new technologies assessment wherever the program is applicable. HTA Core Model is based on the principal of dividing given information into standardized thematic chapters, organized from common to precise. By this, a common assessment technology for any health technology is created to make possible a maximum precise compartment of competing technologies by selected key values. Research, made by the HTA Core Model, are unified, and are mostly designed for health technology assessment in EU zone. For utilizing in healthcare environment beyond EU, they may be localized (completely or partly, depending on local healthcare detail).
Cited by 0Open access
Model: Blockchain Core
Spiro Buzharovski · Apress eBooks · 2022
“Block” by Filip Rizov
Cited by 0
Core-Periphery Model
Andrzej Klimczuk, Magdalena Klimczuk‐Kochańska · Munich Personal RePEc Archive (Munich University) · 2019
Core-periphery imbalances and regional disparities figure prominently on the agenda of several disciplines, which result from their enormous impact on economic and social development around the world. In sociology, international relations, and economics, this concept is crucial in explanations of economic exchange. There are few countries that play a dominant role in world trade (sometimes described as the "Global North"), while most countries have a secondary or even a tertiary position in world trade (the "Global South"). Moreover, when we are discussing global, continental, regional, and national economies, we can present regions and even smaller territorial units (such as subregions, provinces, districts, or counties) which have higher wages than some underdeveloped areas within the same larger area in focus. Such regional inequalities and injustices are the main themes of the core-periphery model, which focuses on tendencies of economic activities to concentrate around some pivotal points. It seeks to explain the spatial inequalities or imbalances observable on all levels or scales by highlighting the role of horizontal and vertical relations between various entities from the level of towns and cities to the global scale. The existence of a core-periphery structure implies that in the spatial dimension (space and place), the socioeconomic development is usually uneven. From such a geographical perspective, the regions known as the "core" are advanced in various areas, while other regions described as the "periphery" serve as a social, economic, and political backstages, backyards, and supply sources or - in some cases - are even subject to degradation and decline. Furthermore, the level of development has a negative correlation with distance from the core. The economies of the states that have gone through various stages of development at the earliest and with the fastest pace have become wealthy core regions and growth poles. Those countries and regions where these processes have been slower become or remain the poor periphery.
Cited by 0Open access
HTA CORE MODEL
R. I. Yagudina, T. Yu. Nor, A. D. Sevostyanov · PHARMACOECONOMICS (Eurasian Economic Community) · 2015
The EUnetHTA Core Model is an electronic system of standardized health technology assessment, currently under development by EUnetHTA. The system is designed to be used within the EUnetHTA program countries (which include Austria, Belgium, Denmark, Finland, Bulgaria, Croatia, Cyprus, Czech Republic, Estonia and others). The Core Model software is currently under development, along with research and reporting methods. The HTA Core Model aim is to create a single database on health technologies, which might be used for new technologies assessment wherever the program is applicable. HTA Core Model is based on the principal of dividing given information into standardized thematic chapters, organized from common to precise. By this, a common assessment technology for any health technology is created to make possible a maximum precise compartment of competing technologies by selected key values. Research, made by the HTA Core Model, are unified, and are mostly designed for health technology assessment in EU zone. For utilizing in healthcare environment beyond EU, they may be localized (completely or partly, depending on local healthcare detail).
Cited by 0Open access
Minimal Core Model
Zdráhal, Jan · Zenodo (CERN European Organization for Nuclear Research) · 2026
Minimal Core Model defines a minimal ontological structure for admissible truth, admissible coexistence of truths, admissible succession of truths, and trajectory-indexed ordering. The model isolates a minimal structural substrate compatible with extensional state-based semantics while avoiding primitive assumptions regarding state identity, valuation structures, primitive temporal structure, and representation-dependent notions. Configurations are identified directly with admissible sets of atomic truths. Time is defined only as index of admissible succession along trajectories. Minimal Core Model provides a canonical minimal kernel compatible with transition systems, Kripke structures, and trace-based temporal semantics while preserving ontological minimality. The specification defines: invariants as atomic admissible truthsconfigurations as admissible sets of invariantsadmissible succession relation between configurationstrajectories as admissible sequences of configurationstime as trajectory index The specification deliberately does not introduce primitives for objects, relations, dimensions, space, topology, geometry, metrics, coordinates, causality, determinism, continuity, or representation structures. Minimal Core Model is intended as a foundational substrate for formal system specifications requiring minimal structural commitments.
Cited by 0Open access
The core model
Quan Zheng, David B. Skillicorn · 2017
Cited by 0
Minimal Core Model
Jan Zdráhal · Zenodo (CERN European Organization for Nuclear Research) · 2026
Metadata completeness update (README alignment with specification references). No changes to formal model. Minimal Core Model defines a minimal ontological structure for admissible truth, admissible coexistence of truths, admissible succession of truths, and trajectory-indexed ordering. The model isolates a minimal structural substrate compatible with extensional state-based semantics while avoiding primitive assumptions regarding state identity, valuation structures, primitive temporal structure, and representation-dependent notions. Configurations are identified directly with admissible sets of atomic truths. Time is defined only as index of admissible succession along trajectories. Minimal Core Model provides a canonical minimal kernel compatible with transition systems, Kripke structures, and trace-based temporal semantics while preserving ontological minimality. The specification defines: invariants as atomic admissible truthsconfigurations as admissible sets of invariantsadmissible succession relation between configurationstrajectories as admissible sequences of configurationstime as trajectory index The specification deliberately does not introduce primitives for objects, relations, dimensions, space, topology, geometry, metrics, coordinates, causality, determinism, continuity, or representation structures. Minimal Core Model is intended as a foundational substrate for formal system specifications requiring minimal structural commitments.
Cited by 0Open access
The core model
A. Dodd, Ronald Björn Jensen · Annals of Mathematical Logic · 1981
Cited by 69
Core-Periphery Model
2021
Cited by 0
The Core-Periphery Model
Frédéric Robert‐Nicoud, Richard Baldwin, Rikard Forslid et al. · Archive ouverte UNIGE (University of Geneva) · 2011
Cited by 2Open access
Core and shadow model
Munch, Kasper, Gardner, Paul P, Arctander, Peter et al. · Figshare · 2011
<b>Copyright information:</b>Taken from "A hidden Markov model approach for determining expression from genomic tiling micro arrays"BMC Bioinformatics 2006;7():239-239.Published online 3 May 2006PMCID:PMC1481622. The upper part of the architecture is the core model shown and explained in Figure 3. The states and in the shadow model, displayed in the shaded box, share emission parameters with the corresponding states and in the core model. This is done such that states in the shadow model do not contribute to estimation of the shared parameters. The labelling of states in the shadow model differs from those of the core model in that the states are now labelled as non-expressed and is labelled as expressed. This allows the Baum-Welch algorithm to use the correspondence between annotation and score in proportion to how likely this is, given the information obtained in the initial training. and states impose a minimum on the number of consecutive probe scores that can be captured by the shadow architecture. This means the model considers at least six consecutive probe scores at a time when evaluating the evidence in the training set. Prior to training the parameters are set so that the probability is distributed uniformly among transitions and among emissions for each state. The exceptions are the transitions shown as dashed lines. These are primed with probability 0.001.
Cited by 0Open access