CBR e-Process Selection and the similarity measure
Representing Similarity for CBR in XML
... distributed CBR application along the lines of Gardingen & Watson’s HVAC system [8] where the user would access the PTA via a fat client ...CBML similarity measures in this context is that the expensive ...
10
Similarity Measure for Security Policies in Service Provider Selection
... evign´ e, France ...Today similarity measure for comparing security policies becomes a crucial technique in a variety of scenarios, such as finding the cloud service providers which satisfy client’s ...
16
A Structural Similarity Measure
... an n-gram model over other MT methods (see the results in (Nist, 2001)). The controversies the BLEU score seems to provoke arise due to the fact that the evalua- tion of MT systems can be, in general, per- formed from ...
9
A Survey on Semantic Similarity Measure
... semantic similarity algorithm for web service [7] This paper proposed a weighted ontology based semantic similarity algorithm for web service to support a more automated and various service discovery and ...
10
A novel model to measure supplier performance in the supplier selection process
... to measure supplier ...supplier selection model comprising technique capable of analysing imprecise qualitative and quantitative data was presented and ...supplier selection decisions, qualitative ...
9
Structural Similarity Measure for Color Images
... Image quality assessment is an important tool in image processing systems. Image quality assessment methods can be classified into two categories: subjective and objective. The subjective image quality assessment methods ...
6
A new similarity measure for image segmentation
... Related Work Pattern recognition is used for region classification, and basic methods of pattern recognition must be understood in order to study more complex machine vision process. The theory of pattern ...
5
A Similarity Measure for Clustering and Its Applications
... Total 150 B. Preprocessing Portuguese Dataset Tokenization was carried out by using suitable delimiters such as white-space and punctuation marks. Stop words or functional words such as article, prepositions, etc. that ...
7
A feature-based structural measure: an image similarity measure for face recognition
... = , (12) where is the maximum level of illumination and is the power of the Gaussian noise [23]. 4.3. Results and Discussion The new FSM technique was implemented as per Equation (9), with the well-known measures SSIM as ...
18
Combining Feature Reduction and Case Selection in Building CBR Classifiers
... a CBR reasoner is presented with a problem (or called an unseen case), it searches its memory of past cases (called the case base) and attempts to find a case that most closely matches the current unseen ...case. ...
15
An Energy-Based Similarity Measure for Time Series
... 3. EXPRESSION OF Ψ B FOR ASSOCIATED ANALYTIC SIGNALS Complex signals are used in various areas of signal process- ing. In the continuous time, they appear, for example, in the description for narrow-band signals. ...
8
A collaborative filtering similarity measure based on singularities.
... filtering process. By including this information in the similarity metric between users, not only a more simplified approach is obtained, but also in a wider range of applications, and resulting in a better ...
14
Learning a concept-based document similarity measure
... Gaussian process for regression (Rasmussen & Williams, 2006), and these four algorithms applied with forward stagewise additive modeling for regression (Hastie, Tibshirani, & Friedman, ...
47
Multi-measure Similarity Searching for Time Series
... flood process from 2:00 on July 1, 2003, denoted by s 2003 , and retains the double-peak flood process from 2:00 on August 15, 2007, denoted by s 2007 ...
8
Fast search based on generalized similarity measure
... called “LFW-a” [11], whose images were cropped and nor- malized to 250 × 250 pixels by a commercial face detector. We used 482 subjects for learning M and G, and 1198 subjects for the gallery and probe. The subjects used ...
6
The development of a fuzzy semantic sentence similarity measure
... 50 results from human participants in an unbiased manner. The results of this dataset were used in testing the STASIS algorithm (as was discussed in Chapter 2) and comparing it to the LSA system (This was later expanded ...
247
A Semantic and Syntactic Similarity Measure for Political Tweets
... syntactic similarity of human utterances is essential in allowing machines to understand dialogue with ...Semantic Similarity measures can be adapted to measure the degree of similarity of a ...
23
An improvised similarity measure for generalized fuzzy numbers
... Similarity measure between two fuzzy sets is an important tool for comparing various characteristics of the fuzzy ...defuzzification process in obtaining the distance between fuzzy sets will incur ...
7
Evaluating the Impact of GUI Similarity between Android Applications to Measure their Functional Similarity
... The process of extracting features from android apps dataset is explained here and illustrated using an example: This step starts by fetching android applications from an official ...
8
MyINS: A CBR e-commerce Application for Insurance Policies
... the process for client in making decision base on the information recommended through this ...reasoning process employed by insurance sale agent in proposing policy to the client using case-based reasoning ...
8