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Filtering by: Creator Van Dersal, Samuel Academic Affiliation Electrical Engineering and Computer Science Subject Machine learning

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
Representationally Robust and Scalable Learning over Relational Databases

Creator:

Picado Leiva, Jose Manuel

Abstract:

Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...

Resource Type:

Dissertation