'Confidence scores' diaporamas de présentation

Motivation

Interactive Information Extraction and Social Network Analysis Andrew McCallum Information Extraction and Synthesis Laboratory UMass Amherst. Motivation. Capture confidence of records in extracted database Alerts data mining to possible errors in database.

1k views • 89 slides

Unsupervised Named-Entity Extraction from the Web: An Experimental Study

Unsupervised Named-Entity Extraction from the Web: An Experimental Study. By: Ms. Shaima Salam Mr. Amrut Budihal. KnowItAll.

460 views • 32 slides

Confidence-based assessment Tony Gardner-Medwin - Physiology, UCL

Confidence-based assessment Tony Gardner-Medwin - Physiology, UCL. context confidence assessment as a study tool confidence assessment in exams. More info:- web site : www.ucl.ac.uk/~cusplap. INTROSPECTION AND ACTIVE LEARNING IN BIOMEDICAL STUDY Tony Gardner-Medwin

339 views • 24 slides

Confidence-based assessment Tony Gardner-Medwin - Physiology, UCL

Confidence-based assessment Tony Gardner-Medwin - Physiology, UCL. context confidence assessment as a study tool confidence assessment in exams. More info:- web site : www.ucl.ac.uk/~cusplap. INTROSPECTION AND ACTIVE LEARNING IN BIOMEDICAL STUDY Tony Gardner-Medwin

247 views • 24 slides

Confidence-based assessment Tony Gardner-Medwin - Physiology, UCL

Confidence-based assessment Tony Gardner-Medwin - Physiology, UCL. context confidence assessment as a study tool confidence assessment in exams. More info:- web site : www.ucl.ac.uk/~cusplap. INTROSPECTION AND ACTIVE LEARNING IN BIOMEDICAL STUDY Tony Gardner-Medwin

242 views • 24 slides

a useful study tool - but why in exams? it reflects the proper meaning of knowledge

Confidence-based assessment in the 1st year medical end-of-year exam Tony Gardner-Medwin Physiology, UCL. a useful study tool - but why in exams? it reflects the proper meaning of knowledge conventional marking disadvantages able students how did the students do in the exam?

227 views • 17 slides

Making the Most of Small Sample High Dimensional Micro-Array Data

Making the Most of Small Sample High Dimensional Micro-Array Data. Allan Tucker, Veronica Vinciotti, Xiaohui Liu; Brunel University Paul Kellam; Windeyer Institute. MicroArray Data. High dimensional Small number of samples Need to identify predictive genes E.g. classification

196 views • 9 slides

Relation Extraction for Academic Collaboration 10-709 Project Proposal

253 views • 8 slides