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multiple classes

Detecting multiple classes of user errors

Detecting multiple classes of user errors

... In this paper, we present an approach to the verication of interactive systems that allows the detection of systematic user errors. The approach extends stan- dard hardware verication techniques based on machine-assisted ...

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Classification of economic data into multiple classes by means of evolutionary methods

Classification of economic data into multiple classes by means of evolutionary methods

... Tree representation of program was used. Our framework can work with such structures when performing crossover and mutation operations. We employed a new operator which we called semicolon. This operator enables us to ...

5

Estrogens of multiple classes and their role in mental health disease mechanisms

Estrogens of multiple classes and their role in mental health disease mechanisms

... by multiple physiological estrogens, as well as some nonphysiological (dietary, pharmaceutical) and contaminant (environmental) ...the multiple beneficial estrogens that they ...

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LC-MS/MS method for the detection of multiple classes of shellfish toxins

LC-MS/MS method for the detection of multiple classes of shellfish toxins

... Analyses of real shellfish samples. A total of 20 shellfish samples supplied by the Bureau of Stan- dards, Metrology and Inspection (Taiwan) from local industries that carried out self-controls were analysed by the ...

7

EBF factors drive expression of multiple classes of target genes governing neuronal development

EBF factors drive expression of multiple classes of target genes governing neuronal development

... In the developing mouse nervous system, there is evi- dence for areas of overlap in the functions of different members of the EBF family. For example, Ebf2 and Ebf3 knockout mice have similar phenotypes for olfactory ...

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An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels

An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels

... Motivated by our analysis for CCMC, we first generalize CC over a random label order and provide the generalization error bound for the proposed generalized model. Then we propose the easy-to-hard learning paradigm for ...

38

Susceptibility to insecticides and resistance mechanisms in three populations of Aedes aegypti from Peru

Susceptibility to insecticides and resistance mechanisms in three populations of Aedes aegypti from Peru

... to multiple classes of insec- ticides, with high levels of resistance to DDT, pyrethroids and organophosphates with the exception of malathion, which is one of the few remaining alternatives for the control ...

11

Unsupervised multi-label text classification using a world knowledge ontology

Unsupervised multi-label text classification using a world knowledge ontology

... of classes would easily introduce noise in classifi- cation results ...into multiple subjects), multi-label text clas- sification is required and automatic classification is necessary, especially when ...

12

A Newsvendor with Priority Classes and Shortage Cost

A Newsvendor with Priority Classes and Shortage Cost

... for multiple classes of ...all classes of customers have been served, limited only by the available ...demand classes of customers and found that they outperform previously published ...

10

Rice Bran Metabolome Contains Amino Acids, Vitamins & Cofactors, and Phytochemicals with Medicinal and Nutritional Properties

Rice Bran Metabolome Contains Amino Acids, Vitamins & Cofactors, and Phytochemicals with Medicinal and Nutritional Properties

... covering multiple classes of phytochemicals, including but not limited to amino acids, cofactors & vitamins, and secondary metabolites that have medicinal properties and contribute to the nutritional ...

21

An Empirical and Analytical View of New Inheritance Metric for Object Oriented Design

An Empirical and Analytical View of New Inheritance Metric for Object Oriented Design

... Since the inheritance tree has a root and leaves. There may be a situation where classes at the leaf node inherit multiple classes and the root node is inherited by multiple classes. ...

7

A Procedure for Multi Class Discrimination and some Linguistic Applications

A Procedure for Multi Class Discrimination and some Linguistic Applications

... The Maximally Parsimonious Discrimination program MPD is a general computational tool for inferring, given multiple classes or, a typology, with attendant instances of these classes, the[r] ...

7

Augmenting Tertiary Students' Soft Skills Via Multiple Intelligences Instructional Approach: Literature Courses in Focus

Augmenting Tertiary Students' Soft Skills Via Multiple Intelligences Instructional Approach: Literature Courses in Focus

... Moreover, Dunn's "Contract Activity Package" sustained me to present literature as an enticing material, contrary to the stereotype image rendered by students about classical literature. Throughout the ...

9

Socioeconomic evaluation of agroforestry systems (Case study: Northern Iran)

Socioeconomic evaluation of agroforestry systems (Case study: Northern Iran)

... promoting classes was ...promoting classes associated with the maximum use of ...training classes in Narenj Bon Paeen and Tamchal villages was ...promoting classes and the multiple use ...

7

abstrct.ppt

abstrct.ppt

...  New classes are called the derived classes  Existing classes are called the base classes  Derived classes inherit the properties of the  base classes... Has-a Relationships.[r] ...

16

Unsupervised learning of shape manifolds

Unsupervised learning of shape manifolds

... Horse classes stems from the fact that their contours have certain subtle differences which could not be picked up by the first two diffusion ...two classes can be significantly increased by increasing the ...

11

Extracting Complex Biological Events with Rich Graph Based Feature Sets

Extracting Complex Biological Events with Rich Graph Based Feature Sets

... Figure 2: An example sentence from Shared Task document 10069428 (simplified). A) Named entities are given. B) Triggers are detected and corresponding event nodes are created. C) Event argument edges are predicted ...

9

A Multiclass Sentiment Classification using Skip-Gram Embedding with Support Vector Machine-Stochastic Gradient Descent (SVM-SGD)

A Multiclass Sentiment Classification using Skip-Gram Embedding with Support Vector Machine-Stochastic Gradient Descent (SVM-SGD)

... binary classifiers. Approaches of parallelisation of MC-SVM training are based on OvsO or OvsR which can be done with SGD that are trained over multiple computers [GBW14, BMS16]. The second method is achieved by ...

9

Community College Placement Policies in North Carolina: Does Multiple Measures for Placement Accurately Assign Students to Gateway Math?

Community College Placement Policies in North Carolina: Does Multiple Measures for Placement Accurately Assign Students to Gateway Math?

... new multiple measures placement ...a Multiple Measures for Placement policy is still entirely dependent on whether the policy is properly placing students into the right courses (Hughes and Scott-Clayton, ...

167

Accelerated Combinatorial Optimization using Graphics Processing Units and C++ AMP

Accelerated Combinatorial Optimization using Graphics Processing Units and C++ AMP

... of multiple batches, coupled with fast context switching used to hide high- latency operations without stalling the ...using multiple execution, masking and ...

10

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