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» Evaluating the Impact of Coder Errors on Active Learning
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AAAI
2008
14 years 12 months ago
Learning to Identify Reduced Passive Verb Phrases with a Shallow Parser
Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., &q...
Sean Igo, Ellen Riloff
66
Voted
CSCW
2010
ACM
15 years 6 months ago
Sources of errors in distributed development projects: implications for collaborative tools
An important dimension of success in development projects is the quality of the new product. Researchers have primarily concentrated on developing and evaluating processes to redu...
Marcelo Cataldo
IJVR
2008
118views more  IJVR 2008»
14 years 9 months ago
HERA: Learner Tracking in a Virtual Environment
The main goals of using simulations and Virtual Environments for Training/Learning (VET/L) are to avoid risks and unwanted consequences, to reduce training costs, and to promote tr...
Kahina Amokrane, Domitile Lourdeaux, Jean-Marie Bu...
ILP
2007
Springer
15 years 3 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
ML
2008
ACM
14 years 9 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen