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» Proposal of Metrics for SSTA Accuracy Evaluation
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ICMLA
2008
13 years 9 months ago
Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets
A new framework is proposed for comparing evaluation metrics in classification applications with imbalanced datasets (i.e., the probability of one class vastly exceeds others). Fo...
Mehrdad Fatourechi, Rabab K. Ward, Steven G. Mason...
AUSAI
2004
Springer
14 years 28 days ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
ACL
2010
13 years 5 months ago
Complexity Metrics in an Incremental Right-Corner Parser
Hierarchical HMM (HHMM) parsers make promising cognitive models: while they use a bounded model of working memory and pursue incremental hypotheses in parallel, they still achieve...
Stephen Wu, Asaf Bachrach, Carlos Cardenas, Willia...
SQJ
2002
106views more  SQJ 2002»
13 years 7 months ago
Energy Metric for Software Systems
Acknowledging the intense requirement for low power operation in most portable computing systems, this paper introduces the notion of energy efficient software design and proposes ...
Alexander Chatzigeorgiou, George Stephanides
SIGMETRICS
2011
ACM
196views Hardware» more  SIGMETRICS 2011»
12 years 10 months ago
Autocorrelation analysis: a new and improved method for measuring branch predictability
Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability. However, these two metrics may misclassify branches with regular his...
Jian Chen, Lizy Kurian John