Search Results - (( based application bayes algorithm ) OR ( based application warping algorithms ))*
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Hybrid shear-warp rendering
Published 1999“…Shear-warp rendering is a fast and efficient method for visualizing a volume of sampled data based on a factorization of the viewing transformation into a shear and a warp. …”
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Text Categorization Using Naive Bayes Algorithm
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Text categorization using naive bayes algorithm
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Time normalization of LPC feature using warping method
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
Published 2024“…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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Geometry based lip reading system using Multi Dimension Dynamic Time Warping
Published 2012“…Lip geometry features including height, width, ratio, area, perimeter and various combinations of these features were evaluated to determine which performs the best when representing speech in the visual domain in the application of three separate classification methods, namely optical flow, Dynamic Time Warping (DTW) and a new approach termed Multi-Dimensional DTW. …”
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Applying learning to filter text
Published 2005“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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Divorce prediction using Naive Bayes / Alia Hannani Ahmad Bakri
Published 2024“…The study focuses on developing a divorce prediction system using the Naive Bayes algorithm, a widely used classifier. The system achieved 98% accuracy in predicting divorce based on a comprehensive dataset. …”
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Anomaly-based intrusion detection through K-means clustering and naives Bayes classification
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
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Classification of Diabetes Mellitus (DM) using Machine Learning Algorithms
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