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Titlebook: Representation Discovery using Harmonic Analysis; Sridhar Mahadevan Book 2008 Springer Nature Switzerland AG 2008

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Multiscale Bases on Graphs,ocalized in frequency, but their support is .. Consequently, Fourier bases are relatively poor at approximating piecewise-smooth functions with local discontinuities. Fourier analysis also does not reveal multiscale regularities. These limitations of Fourier analysis have only recently been overcome
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Case Study: State-Space Planning,79]. Markov decision processes [98] have emerged as the standard mathematical framework to model sequential decision-making in a variety of areas, ranging from game-playing [116], manufacturing [33], robotics [77,89], and scheduling [127]. Solving a Markov decision process requires computing and app
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Case Study: Natural Language,l (IR) from large document corpora [83]. In this chapter, we describe the application of representation discovery to IR and learning from text. Specifically, we describe a new . approach to the problem of learning hierarchical topic models from a given corpora of text documents. We begin with a clas
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Fourier Bases on Graphs, In the analysis phase, linear functionals provide “measurements” of a given function, and in the synthesis phase, these measurements are then combined with the dual bases to reconstitute the original function.
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1939-4608 n intelligent system construct representations from its experience? Representation discovery re-parameterizes the state space - prior to the application of information retrieval, machine learning, or optimization techniques - facilitating later inference processes by constructing new task-specific b
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