6 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
Efficient Induction of Language Models Via Probabilistic Concept Formation
Christopher J. MacLellan, Peter Matsakis, Pat Langley
This paper presents a novel approach to the acquisition of language models from corpora. The framework builds on Cobweb, an early system for constructing taxonomic hierarchies of p…
Do it Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax
Glen Smith, Qiao Zhang, Christopher MacLellan
Computer-aided diagnosis for medical imaging is a well-studied field that aims to provide real-time decision support systems for physicians. These systems attempt to detect and dia…
Convolutional Cobweb: A Model of Incremental Learning from 2D Images
Christopher J. MacLellan, Harshil Thakur
This paper presents a new concept formation approach that supports the ability to incrementally learn and predict labels for visual images. This work integrates the idea of convolu…