Essays about: "manifold learning"
Showing result 1 - 5 of 10 essays containing the words manifold learning.
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1. Willingness to Communicate and the Ideal L2 Self Inside and Outside the EFL Classroom. A Literature Review
University essay from Göteborgs universitet / LärarutbildningsnämndenAbstract : This literature review investigates why EFL (English as a Foreign Language) students are reluctant to speak the target language in the classroom. As this is a complex question with complex answers, this review focuses on how the L2 Motivational Self System (L2MSS), specifically the ideal L2 self, affects willingness to communicate (WTC). READ MORE
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2. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. READ MORE
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3. Artificial intelligence in social work : A PRISMA scoping review on its applications
University essay from Marie Cederschiöld högskola/Institutionen för socialvetenskapAbstract : Background: Capabilities of Artificial Intelligence (AI) are rapidly advancing, as are its potential applications. Examples of the adoption of AI in social work already exist, but an overview of its manifold uses is lacking. READ MORE
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4. Distance preserving Fermat VAE
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep neural networks takes their strength in the representations, or features, that they internally build. While these internal encodings help networks performing classification or regression tasks on specific data types, it exists a branch of machine learning that has for only purpose to build these representations. READ MORE
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5. An Empirical Study on the Generation of Linear Regions in ReLU Networks : Exploring the Relationship Between Data Topology and Network Complexity in Discriminative Modeling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The far-reaching successes of deep neural networks in a wide variety of learning tasks have prompted research on how model properties account for high network performance. For a specific class of models whose activation functions are piecewise linear, one such property of interest is the number of linear regions that the network generates. READ MORE