part-of-speechmachine learning algorithmsagglutinative languageWord2vecThis research is aimed at identifying the parts of speech for the Kazakh and Turkish languages in an information retrieval system. The proposed algorithms are bYerimbetova, Aigerim...
A (broad) categorization could be “discriminative” vs. “generative” classifiers: Discriminative algorithms: a direct mapping of x -> y intuition: “Distinguishing between people who are speaking different languages without actually learning the language” e.g., Logistic regression, SVMs, Neural ne...
22 Oct 2013Student project proposal: Implement a graphical "knowledge flow" interface for the Python machine learning toolkits scikit-learn and/or PyLearn2 16 Sep 2013Visualisation of machine learning algorithms: computer science group project proposal ...
Machine learning (ML) and EEG have demonstrated promise for predicting discrete categories of visual stimuli (e.g., objects, scenes, faces etc.) [1,2,3,4,5,6,7], subjective pain intensity in response to physical pain [8,9,10], and response to pharmaceutical intervention [11,12,13], ...
To classify incoming emails, machine learning algorithms have to analyze the contents of an email, the surrounding context, and the language used. This information is then used to determine an email's purpose and put it into a specific category. ...
Algorithms and Data Structures Internet of Things Information Technology Cybersecurity Computer Networking Machine Learning DevOps Deep Learning Blockchain and Cryptocurrency Education and teaching K12 Higher Education STEM Teacher Development Course Development Online Education Test Prep ...
Associative memories are stored in distributed networks extending across multiple brain regions. However, it is unclear to what extent sensory cortical areas are part of these networks. Using a paradigm for visual category learning in mice, we investigat
P. Practical Bayesian optimization of machine learning algorithms. In Advances in Neural Information Processing Systems Vol. 25 (eds Pereira, F. et al.) 2951–2959 (Curran Associates Inc., New York, 2012). MATH Google Scholar Auer, P. Using confidence bounds for exploitation–exploration trade...
Machine learning models. Our algorithms, including DGA Domains, DNS tunneling, and phishing detection models analyze patterns and behaviors to detect new and evolving threats. Community feedback. Through a review process, Cloudflare assesses feedback by both our internal models and threat analysts. Thi...
This study examines the effectiveness of state-of-the-art supervised machine learning methods in conjunction with different feature types for the task of automatic annotation of fragments of clinical text based on codebooks with a large number of categories. We used a collection of motivational inter...