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...
Reverse derivative categories (RDCs) have recently been shown to be a suitable semantic framework for studying machine learning algorithms. Whereas emphasis has been put on training methodologies, less attention has been devoted to particular \\emph{model classes}: the concrete categories whose morphism...
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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 ...
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. ...
As a first step, we have manually created a curated data set of 500 SO posts, classified into the seven categories. Using this data set, we apply machine learning algorithms (Random Forest and Support Vector Machines) to build a classification model for SO questions. We then experiment with ...
- 《IEEE Transactions on Pattern Analysis & Machine Intelligence》 被引量: 1658发表: 2006年 The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories Learning a category from few examples is a challenging task for vision algorithms, while ...
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Artificial intelligence (AI)topic highlights advances in the field with a focus on design automation and designs at the cross section between machine learning (ML) and AI algorithms and hardware. While artificial intelligence and artificial neural network research has been ongoing for more than half ...
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...