Feature Generation and Selection in Pattern Recognition Systems
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Meaning that we want to find a new representation in terms of ______.

features

This stage concerns the ______ generation stage of the design of a classification system that performs a given pattern recognition task.

feature

This is also a very important task, and it concerns the ______ selection stage of the classification system.

feature

In the preceding classification example, the straight line was drawn ______, just to please the eye.

<p>empirically</p> Signup and view all the answers

Problems for which a linear classifier (straight line or hyperplane in the ______-dimensional space) can result in acceptable performance are not the rule.

<p>l</p> Signup and view all the answers

What type of ______ must one adopt, and what type of optimizing criterion must be used in order to locate a surface in the right place in the l-dimensional feature space?

<p>nonlinearity</p> Signup and view all the answers

In ______ Pattern Recognition, the model learns without direct guidance.

<p>Unsupervised</p> Signup and view all the answers

______ is the assignment of a class name to a pattern by evaluating a trained classifier for that pattern.

<p>Classification</p> Signup and view all the answers

______ and Sensing gathers the observations to be classified or described.

<p>Data Acquisition</p> Signup and view all the answers

A ______ is a procedure that distinguishes the classes of interest.

<p>Classifier</p> Signup and view all the answers

Pre-Processing involves ______ of noise in data.

<p>Removal</p> Signup and view all the answers

______ involves isolating patterns of interest from the background.

<p>Pre-Processing</p> Signup and view all the answers

_______ is a good tool to deal with noisy data and uncertainty in practical problems.

<p>Statistics and probability</p> Signup and view all the answers

Formal language theory provides the background for ______ pattern recognition.

<p>syntactic</p> Signup and view all the answers

An artificial neural network is modeled after the neural network in the ______.

<p>human brain</p> Signup and view all the answers

Neural Network Approach is the most popular technique for detecting patterns today due to its ability to recognize patterns in different types of data, whether ______, visual, or auditory.

<p>textual</p> Signup and view all the answers

Machine learning can be summarized as learning a function that maps input variables (X) to output variables (Y). Y = f(X) An algorithm learns this target mapping function from ______ data.

<p>training</p> Signup and view all the answers

Our job as machine learning practitioners is to evaluate different machine learning algorithms and see which is better at approximating the underlying ______.

<p>function</p> Signup and view all the answers

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