Draining machine concept

Concept Reliability in Machine Learning

Much machine learning research addresses inductive learning — learning relationships from a set of examples (Michalski (1986) provides an excellent introduction). For instance, some programs have been used to learn medical diagnostic rules from a database of patients whose diagnoses are known. These programs examine a number of attributes (e.g. age, temperature, and pulse rate) for a set of exa...

Machine Learning and Formal Concept Analysis

Chronic, draining perianal sinuses.

Photo Quiz Chronic, Draining Perianal Sinuses NEELOFER SOHAIL, M.D., and JEANNE P. SPENCER, M.D., Conemaugh Memorial Hospital, Johnstown, Pennsylvania RENEE MATHER, M.D., Mathur Health Care, Johnstown, Pennsylvania A 46-year-old man with a history of alcohol abuse and hemorrhoids presented with a perianal and perineal rash of three to four weeks' duration. It was associated with severe tenderne...

Draining loop colostomy.

Correspondence loum 779 his loss of time and waste of hospital time could have been avoided. Also the expenses of the numerous tribunals would have been lessened. The second example concerns a man whose carcinoma of the colon I removed several years ago. About two years before death, I removed the prostate. About two months before death he was readmitted with urinary infection. Cystoscopy, afte...

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies

Learning a visual concept from a small number of positive examples is a significant challenge for machine learning algorithms. Current methods typically fail to find the appropriate level of generalization in a concept hierarchy for a given set of visual examples. Recent work in cognitive science on Bayesian models of generalization addresses this challenge, but prior results assumed that objec...