Concept

Apache Spark

Related publications (42)

Fast Gaussian Process Regression Using KD-Trees

The computation required for Gaussian process regression with n training examples is about O(n^3) during training and O(n) for each prediction. This makes Gaussian process regression too slow for large datasets. In this paper, we present a fast approximati ...

2006

Shared Memory vs Message Passing

Rachid Guerraoui

his paper determines the computational strenght of the shared memory abstraction (a register) emulated over a message passing system, and compares it with fundamental message passing abstractions like consensus and various forms of reliable broadcast. We i ...

2003

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