Stem misclassif$ (all stems)
10 papers:
MSR-2014-KochharLL #classification #debugging #locality #question- It’s not a bug, it’s a feature: does misclassification affect bug localization? (PSK, TDBL, DL), pp. 296–299.
KDIR-2014-AzadM #classification #consistency #fault #heuristic- “Misclassification Error” Greedy Heuristic to Construct Decision Trees for Inconsistent Decision Tables (MA, MJM), pp. 184–191.
ICSE-2013-HerzigJZ #classification #debugging #how #predict- It’s not a bug, it’s a feature: how misclassification impacts bug prediction (KH, SJ, AZ), pp. 392–401.
ICML-2012-Ben-DavidLSS #classification #fault #using- Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss (SBD, DL, NS, KS), p. 16.
SAC-2008-MengleGP #category theory #classification #using- Discovering relationships among categories using misclassification information (SSRM, NG, AP), pp. 932–937.
KDD-2005-Kolcz #classification #naive bayes- Local sparsity control for naive Bayes with extreme misclassification costs (AK), pp. 128–137.
ICPR-v2-2000-HamadaSHT #automation #classification #image- Automated Construction of Image Processing Procedure Based on Misclassification Condition (TH, AS, JiH, JiT), pp. 2430–2433.
ICML-1999-FanSZC #classification #named- AdaCost: Misclassification Cost-Sensitive Boosting (WF, SJS, JZ, PKC), pp. 97–105.
ICPR-1998-SatoY #classification #learning #using- A formulation of learning vector quantization using a new misclassification measure (AS, KY), pp. 322–325.
ICML-1994-PazzaniMMAHB #classification- Reducing Misclassification Costs (MJP, CJM, PMM, KMA, TH, CB), pp. 217–225.