The WebGenre Blog: The power of genre applied to digital information. By Marina Santini » Entries tagged with "supervised classification"

Lecture 2: Basic Concepts in Machine Learning for Language Technology

Machine Learning for Language Technology 2014 – Course Schedule … Read entire article »

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Lecture 6: Ensemble Methods

Lecture 6: Ensemble Methods from Marina Santini What is an “ensemble learner”? How can we combine different base learners into an ensemble in order to improve the overall classification performance? In this lecture, these questions are addressed. … Read entire article »

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Lecture 5: Structured Prediction

Structured prediction or structured learning refers to supervised machine learning techniques that involve predicting structured objects, rather than single labels or real values. For example, the problem of translating a natural language sentence into a syntactic representation such as a parse tree can be seen as a structured prediction problem in which the structured output domain is the set of all possible parse trees. … Read entire article »

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Lecture 1: Introduction – Machine Learning for Language Technology

What Is Machine Learning? Machine learning is programming computers to optimize a performance criterion using example data or past experience. We have a model defined up to some parameters, and learning is the execution of a computer program to optimize the parameters of the model using the training data or past experience. The model may be predictive to make predictions in the future, or descriptive to gain knowledge from data, or both. Machine learning uses the theory of statistics in building mathematical models, because the core task is making inference from a sample. (Alpaydin, 2010) In this lecture, we discuss supervised learning starting from the simplest case. We introduce the concepts of: Margin, Noise, and Bias. … Read entire article »

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