Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7186
Title: Neural Networks
Keywords: AI
MIT
Artificial Intelligence
neural networks
learning
graphical models
machine learning
pattern recognition
statistical learning theory
Issue Date: 9-Oct-2013
Description: We present an overview of current research on artificial neural networks, emphasizing a statistical perspective. We view neural networks as parameterized graphs that make probabilistic assumptions about data, and view learning algorithms as methods for finding parameter values that look probable in the light of the data. We discuss basic issues in representation and learning, and treat some of the practical issues that arise in fitting networks to data. We also discuss links between neural networks and the general formalism of graphical models.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Other Identifiers: AIM-1562
CBCL-131
http://hdl.handle.net/1721.1/7186
Appears in Collections:MIT Items

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