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Filtering by: Creator Goldman, Johanna A. L. Subject Computer algorithms

A probabilistic framework and algorithms for modeling and analyzing multi-instance data

Creator:

Behmardi, Behrouz

Abstract:

Multi-instance data, in which each object (e.g., a document) is a collection of instances (e.g., word), are widespread in machine learning, signal processing, computer vision, bioinformatic, music, and social sciences. Existing probabilistic models, e.g., latent Dirichlet allocation (LDA), probabilistic latent semantic indexing (pLSI), and discrete component analysis (DCA), have been...

Resource Type:

Dissertation

Full Text:

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Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

Creator:

Briggs, Forrest

Abstract:

We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...

Resource Type:

Dissertation

Full Text:

problem of supervised classification of bird species from audio recordings in a real-world acoustic
Algorithms for massive biological datasets

Creator:

Bryant, Douglas W. (Douglas Wesley)

Abstract:

Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...

Resource Type:

Dissertation

Full Text:

transformation’s potential a host of brand-new challenges have emerged, many of which lend themselves to being