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In this talk, we present our work on structure-preserving machine learning (ML) moment closure models for the radiative transfer equation. Most of the existing ML closure models are not able to guaran...
2017年10月23日至27日,由中国科学院广州生物医药与健康研究院、香港大学、广东省生物医药计算重点实验室、中国科学院超级计算广州分中心联合承办的“CCP4 Crystallography School and Workshop: From data processing to structure refinement ”在广州生物院举行。CCP4 是大分子X-射线晶体学的主要软件包之一,集成了...
The iris structure motion is analyzed. Extension and compression of the iris structural elements are nonlinear with respect to the pupil radius change. To reveal this nonlinearity the Lucas-Kanade, Ho...
Data Structure Fusion     Data Structure       2016/5/24
We consider the problem of specifying data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are speci-fie...
Applications on modern supercomputers are increasingly limited by the cost of data movement, but mainstream programming systems have few abstractions for describing the structure of a program’s data. ...
Modeling the structural ensemble of intrinsically disordered proteins (IDPs),which lack fixed structures, is essential in understanding their cellular functions and re-vealingtheirregulationmechanisms...
River structure is a direct concept for the distribution of rivers in nature. In spatial database, river structure is a type of spatial relations composed by river features. This paper proposes the ch...
We propose a theory for modeling concepts that uses the state-context-property theory (SCOP), a generalization of the quantum formalism, whose basic notions are states, contexts and properties. This t...
What is information? Although researchers have used the construct of information liberally to refer to pertinent forms of domain-specific knowledge, relatively few have attempted to generalize and sta...
Without a proper restriction on mappings, virtually any system could be seen as implementing any computation. That would not allow characterization of systems in terms of implemented computations and ...
Designers often seek modular architectures to better accommodate expected changes and to enable parallel development. However, we lack a formal theory and model of modularity and software evolution, w...
Construction of a Database of Secondary Structure Segments and Short Regions of Disorder and Analysis of Their Properties.
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model...

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