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Found 6 papers, 0 papers with code
Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft" VSA Representation for JSON
Keywords: MBAT (Matrix Binding of Additive Terms), VSA (Vector Symbolic Architecture), HDC (Hyperdimensional Computing), Distributed Representations, Binding, Orthogonal Matrices, Recurrent Connections, Machine Learning, Search, JSON, VSA Applications
DataWords: Getting Contrarian with Text, Structured Data and Explanations
Our goal is to build classification models using a combination of free-text and structured data.
Predicting Severe Sepsis Using Text from the Electronic Health Record
Employing a machine learning approach we predict, up to 24 hours prior, a diagnosis of severe sepsis.
Representing Objects, Relations, and Sequences
A VSA that incorporates these ideas, MBAT (Matrix Binding of Additive Terms), is described that satisfies all Constraints.
Automated Generation of Connectionist Expert Systems for Problems Involving Noise and Redundancy
When creating an expert system, the most difficult and expensive task is constructing a knowledge base.
Bayesian Assessment of a Connectionist Model for Fault Detection
Here we compare the performance of this connectionist model with performance of the optimal Bayesian decision rule for the example that was previously described.
