• No results found

Towards an automated correlation and tuning method

Towards An Automated, Black-Box Method For Reversing Web Applications

Towards An Automated, Black-Box Method For Reversing Web Applications

... As with the execution flow analysis that we described in the previous section, loop analysis can only be performed when every iteration of the loop construct produces an output. In such case, pattern recognition ...

8

A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

... directed towards discovering learners interaction patterns within a learning knowledge base, and then respond by making deci- sion based on adaptive rules centred on captured user ...The method applies ...

10

Automated tuning of an algorithm for the vehicle routing problem

Automated tuning of an algorithm for the vehicle routing problem

... offline tuning either: a hyper-heuristic could use either ...offline tuning methods in ...online tuning method needs is part of the computation time for a problem ...online tuning ...

81

Towards correlation-based time window selection method for motor imagery BCIs

Towards correlation-based time window selection method for motor imagery BCIs

... a method for extracting features to reduce the dimensionality, and is one of the most efficient algorithms applied to MI-based BCIs (Ramoser, Müller-Gerking, & Pfurtscheller, ...

15

Automated tuning of an engine management unit for an automotive engine

Automated tuning of an engine management unit for an automotive engine

... the tuning algorithm is approaches the speciŽ ed ...The automated software controlling the pro- extremely e€ ective in terms of its settling time and the cess handles moving from zone to ...

9

Generic Instance-Specific Automated Parameter Tuning Framework

Generic Instance-Specific Automated Parameter Tuning Framework

... instance-specific automated parameter tuning framework using search trajectory as its generic ...alignment method to calculate the similarity score for each pair of ...clustering method and ...

176

Integration and Synthess for Automated Performance Tuning: the SYNAPT Project

Integration and Synthess for Automated Performance Tuning: the SYNAPT Project

... best method available for a given problem based on different types of search interfaces (from guided question-answer based ones for beginners, to keyword domain-specific search ...

8

Tuning of Learning Algorithms for Use in Automated Product Recommendations

Tuning of Learning Algorithms for Use in Automated Product Recommendations

... SGD method trained for 30 ...SDLM method, which means that the parameters with a low number of ratings in the data sets can attain a lower bias, but also a higher ...

50

Evaluation of Tuning and Normalized Tuning Time using an Effective and Automated Framework pertained to Benchmark Applications

Evaluation of Tuning and Normalized Tuning Time using an Effective and Automated Framework pertained to Benchmark Applications

... The performance of the program measured by time and space depends on the machine architecture, problem domain and the settings of the compiler. The brute-force method of trying all possible combinations would be ...

6

Towards the automated correction of bugs

Towards the automated correction of bugs

... Computational Tree Logic is polynomial time checkable in the size of the sys- tem times the length of the formula [Clarke et al.(1996)Clarke, Emerson, and Sistla]. These correspond to the number of statements in the ...

25

Towards automated truancy detection

Towards automated truancy detection

... and research showed that more than 70% of the students in secondary education have such an account, Hyves was chosen to be the first social network to build a handler for. At this moment it is also the only handler which ...

100

Towards Automated Vulnerability Assessment

Towards Automated Vulnerability Assessment

... established method for determining security weaknesses within a ...step towards that goal; a systematic transformation of the VA knowledge into a PDDL represen- tation, accommodating a broad range of time ...

9

Automated Tuning and Controller Design  for DC DC Boost Converter

Automated Tuning and Controller Design  for DC DC Boost Converter

... Descent method is one of the oldest methods for minimization of a general nonlinear function ...descent method is also known as gradient descent method was first proposed by Cauchy in ...the ...

5

Convergence analysis and tuning of a sliding mode ripple correlation MPPT

Convergence analysis and tuning of a sliding mode ripple correlation MPPT

... The most common MPPT methods in literature are P&O (perturb and observe) [3], [4], hill climbing [5], incremental conductance [6], fractional voltage [7] and ripple correlation control [8]. A comprehensive review ...

12

Automated apriori algorithm using correlation coefficient

Automated apriori algorithm using correlation coefficient

... Preparation of ZnO nanoparticle Chemical method 0.1M Zn(NO 3 ) 2 .6H 2 O was prepared in 100ml standard flask. 50 ml of the above solution was taken in a beaker & placed in a magnetic stirrer-heater. 2M NaOH ...

8

Correlation study between two analytical techniques used to measure serum potassium: An automated potentiometric method and flame photometry reference method

Correlation study between two analytical techniques used to measure serum potassium: An automated potentiometric method and flame photometry reference method

... usual method is to be replaced by a new ...the correlation between the potentiometric determination of potassium serum made on a multi-parameter automated analyzer and flame photometry considered as ...

6

Towards a Parameter Tuning Approach for a Map-Matching Algorithm

Towards a Parameter Tuning Approach for a Map-Matching Algorithm

... While SF, BS, and ST are variables that have been set to discrete values with three levels, S is a continuous variable by nature. A preliminary clustering method was applied to categorize S. Hierarchical ...

6

Towards the Automated Annotation of Process Models

Towards the Automated Annotation of Process Models

... Abstract. Many techniques for the advanced analysis of process models build on the annotation of process models with elements from predefined vocabularies such as taxonomies. However, the manual annotation of process ...

15

Towards Automated Semi-Supervised Learning

Towards Automated Semi-Supervised Learning

... an automated learning system ( AUTO - SSL ) for ...separation method to fine-tune the hyperparameters and meanwhile alleviate the performance deterioration issue in ...

8

Towards Automated Network Configuration Management

Towards Automated Network Configuration Management

... Several researches and case studies [88] have shown the promise of using TD in au- tomating networks and systems management. In the following paragraphs, we give a formal description of RL problems. RL considers a ...

214

Show all 10000 documents...

Related subjects