19,250 results found (page 6 of 1284)
https://www.academia.edu/103471725/MACHINE_LEARNING_TECHNIQUES_BASED_ON_FEATURE_SELECTION_…

…nt issue. This paper will explore various feature selection methods on four ASD datasets for extracting significant features for improving the ASD classification system. Datasets were created in 2017 and 2018 for child and adult gathered online. Several feature engineering techni…

https://www.academia.edu/103233067/Identifying_Anomalous_Indus_Texts_from_West_Asia_Using_…

…(or characters) in a language is defined as the inverse probability of the test dataset normalized by the number of words or charac- ters. Here PP is perplexity, wn is the sign in n th position for an n-gram of length N that make up the set W Equation 2: 1 𝑃𝑃𝑃𝑃(𝑊𝑊) = 𝑃𝑃(𝑤𝑤1 𝑤𝑤2 .…

https://www.academia.edu/76022813/Towards_a_Computational_Framework_for_Automated_Discover…

…eriodogram, and Cyclic Hidden Markov Models (CyHMMs) to detect periods in three datasets. The first dataset is created artificially with known periods to test how well those three methods can detect periods in the data. The methods are then tested on a real-world dataset containi…

https://www.academia.edu/91473234/Real_Time_Automatic_License_Plate_Recognition_through_De…

…tential as well as a new We develop a specific network to detect license plates dataset to train and evaluate ALPR approaches. According to instead of using a general object detector such as Faster- experimental results, our approach is able to achieve state-of-the- RCNN [4] or S…

https://www.academia.edu/128785806/Conventional_machine_learning_and_deep_learning_in_Alzh…

…ars, public open-access databases supplied MRI images of AD biomarkers, and the datasets were maintained by updating and adding new data. Considerable researchers have conducted their work to analyze AD employing MRI-based biomarkers. In this article, we mainly focus on MRIbased …

https://www.academia.edu/48696478/Automatically_annotating_a_five_billion_word_corpus_of_J…

…urpose of identifying sentiment in online videos. I will first describe a novel dataset consisting of videos collected from the social media web- site YouTube, which were annotated for senti- ment polarity. I will then show, through com- parative experiments, that the joint use o…

https://www.academia.edu/48696489/Automatically_Annotating_A_Five_Billion_Word_Corpus_of_J…

…urpose of identifying sentiment in online videos. I will first describe a novel dataset consisting of videos collected from the social media web- site YouTube, which were annotated for senti- ment polarity. I will then show, through com- parative experiments, that the joint use o…