Description Logic learning for protein crystallisation
Exact Learning of Lightweight Description Logic Ontologies
... of learning via ...time learning algorithms for EL TBoxes and the admission of different types of membership queries and counterexamples in the learning ...
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Exact Learning of Lightweight Description Logic Ontologies
... Exact Learning of TBoxes using Certain ...to learning using concept inclusions since domain experts are often more familiar with querying data in a particular domain than with the logical notion of ...
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Exact Learning of Lightweight Description Logic Ontologies
... ontology learning, where the goal is to use machine learning techniques for various ontology engineering tasks such as to identify the relevant vocabulary of the application domain (Cimiano et ...ontology ...
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Learning from Ordinal Data with Inductive Logic Programming in Description Logic
... a Description Logic (DL) based Inductive Logic Pro- gramming (ILP) algorithm for learning relations of ...of learning user preferences from pairwise ...
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A Model for Learning Description Logic Ontologies Based on Exact Learning
... of learning description logic (DL) ontologies in Angluin et ...exact learning via queries posed to an ...to learning from subsumption ...
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Tools to Ease the Choice and Design of Protein Crystallisation Experiments
... Figure 11. The ‘Chemistry Range Table’ from the Hit Report shown in Appendix A. This shows the chemical factors for the four conditions in the Hit Report and some initial clustering into chemically equivalent groups has ...
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Exact learning description logic ontologies from data retrieval examples
... polynomial learning algorithm there exists a polynomial size inclusion C v D, which can be returned as a counterexample and that excludes only polynomially many TBoxes from ...
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EmEL ++ : Embeddings for ++ Description Logic
... 4.3. Experimental Protocol For learning the embeddings by different models, we first normalize the ontologies as described in Section 3. Next, we remove 30% of the subclass relation pairs from the normalized ...
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Using isoelectric point to determine the pH for initial protein crystallisation trials
... machine learning 25 An artificial neural network (ANN), implemented in Matlab (MathWorks, 2011) was trained to assign a pH value to crystalliza- tion ...machine learning algorithms designed to mimic the ...
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On Knowledge Dependence in Weighted Description Logic
... statistical learning and knowledge ...to learning over knowledge bases such as [17], [5], [12], [13] and ...of description logics with graded membership values and thresholds such as [2, ...tooth ...
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The Control of Protein Crystallisation
... actual crystallisation where the first part will be simultaneous nucléation and growth and the later would be growth ...the protein solution will quickly be depleted, leaving the crystals ...the ...
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Advanced Protein Crystallisation Facility (APCF)
... in protein (or macromolecular) crystallisation arising from the APCF programme are disappointing and have not yielded any interesting progress or breakthroughs, either in the understanding of crystal growth ...
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Iterative learning control of crystallisation systems
... A novel hierarchical ILC (HILC) scheme for the systematic design of the supersaturation control (SSC) of a seeded batch cooling crystalliser was developed. The proposed HILC can be a convenient tool to select the ...
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description logic symbol logic diagram (positive logic)
... RoHS: TI defines "RoHS" to mean semiconductor products that are compliant with the current EU RoHS requirements for all 10 RoHS substances, including the requirement that RoHS s[r] ...
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Schema.org as a Description Logic
... Schema.org does neither formally specify the language in which its ontologies are formulated nor does it provide a for- mal semantics for the published ontologies. However, the pro- vided ontologies are extended and ...
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THE DESCRIPTION LOGIC HANDBOOK
... THE DESCRIPTION LOGIC HANDBOOK Theory, implementation, and applications.. Edited by FRANZ BAADER DIEGO CALVANESE DEBORAH L.[r] ...
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A Description Logic Primer
... reasonable modelling choices and to comprehend the results given by software applica- tions. Luckily, the semantics of description logics is not difficult to understand provided that some common misconceptions are ...
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Micro ATR FTIR imaging of hanging drop protein crystallisation
... several protein crystals can be observed in the ATR FTIR image with a maximum size of approximately 15 µm then after 48 h the number and size of Thaumatin crystals measured has reduced; the biggest one ...
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Decomposing Description Logic Ontologies
... Introduction The purpose of an ontology in knowledge representation is to fix the vocabulary of an application domain and to for- mally describe the meaning of this vocabulary using a logic- based language. This ...
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Decomposing Description Logic Ontologies
... Introduction The purpose of an ontology in knowledge representation is to fix the vocabulary of an application domain and to for- mally describe the meaning of this vocabulary using a logic- based language. This ...
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