Pattern Recognition and Machine Learning
Citations
119 citations
Cites background or methods from "Pattern Recognition and Machine Lea..."
...For the detailed derivations of these algorithms, readers may refer to [24, 26, 29]....
[...]
...KPCA is one of the nonlinear feature extraction methods [29]....
[...]
...In Bayesian classifier, the probability that one particular data point belongs to class is denoted as and is computed [24, 29]...
[...]
...And the computation of output layer weights is formulated as a quadratic optimization problem [29]....
[...]
...RBF network aims to derive an input-output mapping using M radial basis functions [29]...
[...]
119 citations
119 citations
Cites methods from "Pattern Recognition and Machine Lea..."
...Indeed, the classification problem is often formalized within the framework of Bayesian decision theory [4]....
[...]
119 citations
119 citations
Cites background or methods from "Pattern Recognition and Machine Lea..."
...The use of conjugate priors significantly simplify the form of posterior distri- butions....
[...]
...However, as in many multidimensional problems, the Bayesian model defined with the joint distribution in (30) does not allow for exact inference as the marginal distribution is intractable....
[...]