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Corporate household (CHH) refers to the organizational information about the structure within the corporation and
a variety of inter-organizational relationships. Knowledge derived from this data is becoming increasingly important
for improving data quality in applications, such as Customer…

The studies of anatomy and physiology are fundamental ingredients of medical education. This paper identifies six ways in which such functional knowledge serves as the underpinnings for general medical reasoning, and outlines the design of a computational model of common…

Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity that can render them incomprehensible to experts.…

This is a partial theory of thinking, combining a number of classical and modern concepts from psychology, linguistics, and AI. Whenever one encounters a new situation (or makes a substantial change in one's viewpoint) he selects from memory a structure…

A key problem in model-based object recognition is selection, namely, the problem of isolating regions in an image that are likely to come from a single object. This isolation can be either based solely on image data (data-driven) or can…

In our view, there is a general need to gain insights into what a listener
does in linguistic interaction and to provide a comprehensive account
of listenership from a pragmatic standpoint. This paper examines listener
roles and processes in three…

Desde os primórdios da existência humana, o homem vem estabelecendo uma estreita relação com o recurso solo. Muitos conhecimentos foram gerados durante todo esse tempo. Porém, nas sociedades ocidentais, o homem ainda busca uma forma adequada de utilizar esse recurso…

Causal reconstruction is the task of reading a written causal description of a physical behavior, forming an internal model of the described activity, and demonstrating comprehension through question answering. T his task is difficult because written d escriptions often do…

Intelligent autonomous agents working cooperatively accomplish tasks more efficiently than single agents, as well as tasks that were infeasible for the single agent. For example, a single agent transporting a ton of blocks will need to take multiple trips, possibly…