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» Evaluation by comparing result sets in context
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NIPS
2004
13 years 10 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
IUI
2010
ACM
14 years 5 months ago
Towards maximizing the accuracy of human-labeled sensor data
We present two studies that evaluate the accuracy of human responses to an intelligent agent’s data classification questions. Prior work has shown that agents can elicit accurat...
Stephanie Rosenthal, Anind K. Dey
GD
2000
Springer
14 years 18 days ago
A User Study in Similarity Measures for Graph Drawing
Abstract. The need for a similarity measure for comparing two drawings of graphs arises in problems such as interactive graph drawing and the indexing or browsing of large sets of ...
Stina S. Bridgeman, Roberto Tamassia
RECSYS
2010
ACM
13 years 9 months ago
Global budgets for local recommendations
We present the design, implementation and evaluation of a new geotagging service, Gloe, that makes it easy to find, rate and recommend arbitrary on-line content in a mobile settin...
Thomas Sandholm, Hang Ung, Christina Aperjis, Bern...
BMCBI
2005
121views more  BMCBI 2005»
13 years 9 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown