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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.

Computer assisted instruction --- Stochastic processes --- Gaussian processes --- Machine learning --- Data processing --- Mathematical models --- 681.3*I26 --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Data processing. --- Mathematical models. --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Learning, Machine --- Artificial intelligence --- Machine theory --- Distribution (Probability theory) --- machine learning --- statistiek --- Bayesian statistics --- Gauss, Carl Friedrich --- Aprenentatge automàtic --- Processos gaussians --- Models matemàtics --- Informàtica --- Distribució (Teoria de la probabilitat) --- Processos estocàstics --- Intel·ligència artificial --- Màquines, Teoria de --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Gaussian processes - Data processing --- Machine learning - Mathematical models