Dennis R Bahler

Works (2)

Updated: April 4th, 2024 23:35

2000 article

Symbolic, neural, and Bayesian machine learning models for predicting carcinogenicity of chemical compounds

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, Vol. 40, pp. 906–914.

By: D. Bahler n & B. Stone n

MeSH headings : Animals; Bayes Theorem; Carcinogenicity Tests; Carcinogens / chemistry; Carcinogens / toxicity; Female; Humans; Male; Neural Networks, Computer; Rodentia
TL;DR: To assist human experts in organizing an empirical testing regime, and to try to shed light on mechanisms of toxicity, toxicity models were constructed using various machine learning and data mining methods, both existing and those of their own devising. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

1995 journal article

Mixed quantitative/qualitative method for evaluating compromise solutions to conflicts in collaborative design

Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 9(4), 325–336.

By: D. Bahler n, C. Dupont* & J. Bowen*

author keywords: NEGOTIATION; CONCURRENT ENGINEERING; UTILITY; DESIGN CONSTRAINTS; DESIGN ADVICE SYSTEMS
TL;DR: A protocol based on notions of economic utility by which design advice systems can recognize conflict and mediate negotiation fairly is extended by allowing expressed preferences of design teams to be qualitative as well as quantitative, by allowing teams to express interest in parameters before they actually come into existence. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

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