Training Phase
Assessment of hand grip strength in Mexican boxers by training phase
... Results: Values found in hand-grip strength in both hands were lower than those reported for elite boxers international- ly. We also ascertained a mathematical statistically non-significant increase in hand-grip strength ...
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A REVIEW ON SVM TRAINING PHASE REDUCTION FOR MALWARE DETECTION
... False Positive Rate (FPR). This shows that opcode of sequence 2 is more representative than single opcodes , however the longer sequences decreases the accuracy. The opcodes generated are used as features for ...
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Inter-tester reproducibility and inter-method agreement of two variations of the Beighton test for determining Generalised Joint Hypermobility in primary school children
... For the inter-tester reproducibility studies, a standar- dised protocol for clinical reproducibility studies was followed, including a three-phase study with a training phase, an overall[r] ...
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Recurrent Neural Network Training using ABC Algorithm For Traffic Volume Prediction
... the training, validation and testing phases of the ...the training phase was 359.8409, the validation phase had an optimal MSE of ...Test phase was ...the training phase, ...
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Download (366kB)
... control group completed the intervention training phase without PPR or POST education.. 18.[r] ...
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An Approach Based On Artificial Neural Network for Data Deduplication
... the training phase and other is the testing ...the training phase, the ANN is trained to fix some result for the hidden layer according to the input feature and target ...The training ...
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Texture Classification using Artificial Neural Network for Diagnosis of Skin Cancer
... as training and others as testing ...the training phase, the system was trained using 50 skin tissue images, the textural features extracted from training samples were analyzed and their ...
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VGI and crowdsourced data credibility analysis using spam email detection techniques
... The proposed CSD credibility detection approach consisted of two distinct phases including a system training phase and a detection phase. An algorithm was developed in the research design stage and ...
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Voting Methods For Malware Detection
... two phase: training phase and testing phase. In training phase training data set of malicious and non-malicious files are ...testing phase, test set collection of ...
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Detection and Removal of Shadow Using Very High Resolution Remote Sensing Images
... A. GENRAL:In shadow detection and removal first part is training phase. In this manually select shadow and non- shadow block of original image and extract the features of that blocks in terms of R, G and B ...
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Word Sense Disambiguation in Hindi Language Using Hyperspace Analogue to Language and Fuzzy C Means Clustering
... For training the system, the text in Hindi language is converted into Hyperspace Analogue to Language (HAL) vectors, thereby, mapping each word into a high-dimensional ...
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Anomalous Event Detection in Traffic Video Surveillance Based on Temporal Pattern Analysis
... Abnormality is represented by plotting the infrequent points obtained from pattern matching over the corresponding frame. During training phase, input frame (as shown in Fig. 1(a)) is applied to optical ...
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Analysing and Visualizing Tweets for U.S. President Popularity
... for training the system, while the rest 1/3 tweets ...testing phase. The file used for the training is of type CSV and was downloaded from ...the training phase and for the testing ...
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A configural dominant account of contextual cueing : configural cues are stronger than colour cues
... Test Phase were entered into a 2 x 2 ANOVA with factors of Condition (colour cueing vs configuration-removed) and Display Type (repeated vs ...the Training phase and Test phase) showed no ...
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Toward a unified model of motivation for training transfer: A phase perspective.
... decisional phase, we talk about commitment to transfer: how important it is for employees to transfer learning from the training to their ...decisional phase, we talk about commitment to implement ...
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Psychological Training in Sailing: Performance Improvement for the Olympic Classification Phase
... Mental Ability, and Team Cohesion. This questionnaire is one of the instruments that currently demonstrate greater utility in the assessment of the psychological characteristics involved in athletic performance, in ...
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Handwritten signature verification using complementary statistical models
... Linear discriminant analysis was also explored in [10], along with linear methods and NNs as means of combining confidence measures in a speech recognition system. The specific application area was a command- and-control ...
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A six week modified sprint interval training program incorporating extended exercise bouts does not increase maximal cardiac output
... Exercise training can increase the muscle content of ion transporter proteins which improves exercise performance by delaying or sequestering ion imbalance related fatigue (Iaia et ...Endurance training and ...
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Comparative Study of Data Mining and Machine Learning Approach for Anomaly Detection
... We have studied the two approaches for anomaly detection i.e. data mining and machine learning techniques along with benefits and limitations. We have studied the literature that uses the hybrid approach. The data mining ...
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Preventing Cross-Site Scripting Attacks by Combining Classifiers
... Abstract: Cross-Site Scripting (XSS) is one of the most popular attacks targeting web applications. Using XSS attackers can obtain sensitive information or obtain unauthorized privileges. This motivates building a system ...
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