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» A Quality Model for Evaluating Feature Models
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ISBI
2006
IEEE
16 years 5 months ago
Assessing the accuracy of non-rigid registration with and without ground truth
We compare two methods for assessing the performance of groupwise non-rigid registration algorithms. One approach, which has been described previously, utilizes a measure of overl...
Roy Schestowitz, Carole J. Twining, Timothy F. Coo...
156
Voted
MSWIM
2004
ACM
15 years 10 months ago
Experimental evaluation of wireless simulation assumptions
All analytical and simulation research on ad hoc wireless networks must necessarily model radio propagation using simplifying assumptions. Although it is tempting to assume that a...
David Kotz, Calvin C. Newport, Robert S. Gray, Jas...
168
Voted
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 5 months ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
CIKM
2009
Springer
15 years 11 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
LREC
2010
164views Education» more  LREC 2010»
15 years 6 months ago
Evaluating Machine Translation Utility via Semantic Role Labels
We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation...
Chi-kiu Lo, Dekai Wu