31 citations · 69 across the 8 of their papers we have counts for
10 papers
Sheaves: A Topological Approach to Big Data
Linas Vepstas
This document develops general concepts useful for extracting knowledge embedded in large graphs or datasets that have pair-wise relationships, such as cause-effect-type relations.…
On the Beta Transformation
Linas Vepstas
The beta transformation is the iterated map ; it generates the base- expansion of a real number x. Every iterated piece-wise monotonic map is topologically conjugate…
Symbol Grounding via Chaining of Morphisms
Ruiting Lian, Ben Goertzel, Linas Vepstas +2
A new model of symbol grounding is presented, in which the structures of natural language, logical semantics, perception and action are represented categorically, and symbol ground…
Learning Language from a Large (Unannotated) Corpus
Linas Vepstas, Ben Goertzel
A novel approach to the fully automated, unsupervised extraction of dependency grammars and associated syntax-to-semantic-relationship mappings from large text corpora is described…
Durkheim Project Data Analysis Report
Linas Vepstas
This report describes the suicidality prediction models created under the DARPA DCAPS program in association with the Durkheim Project [http://durkheimproject.org/]. The models wer…
Yet Another Riemann Hypothesis
Linas Vepstas
This short note presents a peculiar generalization of the Riemann hypothesis, as the action of the permutation group on the elements of continued fractions. The problem is difficul…