摘要：
The marginal likelihood is the integral of the likelihood times the priorp(y|X)=∫p(y|f,X)p(f|X)dfThe term marginal likelihood refers 阅读全文
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1. Gaussian processesGaussian processes are the extension of multivariate Gaussians to infinite-size collections real valued variables. In particular, 阅读全文
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1. Feature mapsTo fit a non-lineal function, a more expressive family of models need to be created. Considering fitting cubic functions $y=\theta_3x^3 阅读全文
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Let S=(x(i),y(i))mi=1 be a training set of i.i.d. examples from unknow distribution. The standard probabilistic interpretation of lin 阅读全文
摘要：
A vector-valued random variable x∈Rn is said to have a multivariate gaussian ( or normal) distribution with mean μ∈Rn 阅读全文
