classification sunum

yalechurlishΤεχνίτη Νοημοσύνη και Ρομποτική

7 Νοε 2013 (πριν από 3 χρόνια και 9 μήνες)

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Pattern recognition

is a sub
-
topic of
machine learning
. It can be defined as

"the act of taking in raw data and taking an action based on the
category

of
the data".

Pattern recognition aims to classify
data

(
patterns
) based on either
a priori

knowledge or on
s
tatistical

information extracted from the patterns. The patterns
to be classified are usually groups of measurements or observations, defining
points in an appropriate
multidimensional space
.


Artificial neural networks



Decision trees



Gene expression programming



Genetic algorithms



Genetic programming



Holographic associative memory



Inductive Logic Programming



Gaussian process regression



Linear discriminant analysis



K
-
nearest neighbor



Minimum message length



Perceptron



Quadratic classifier



Radial basis function networks



Support vector machines



Statistical classification

is a procedure in which individual items are placed into
groups based on quantitative information on one or more characteristics inherent
in the items (referred to as

traits, variables, characters, etc) and based on a
training set

of previously labeled items.


I
Does adding more features always improve the results?

I
Avoid unreliable features.

I
Be careful about correlations with existing features.

I
Be careful about measurement costs.

I
Be careful about noise in the measurements.