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» Experiments with a New Boosting Algorithm
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ECML
2001
Springer
15 years 7 months ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic
CANDC
2006
ACM
15 years 3 months ago
Dealing with repetitions in sequencing by hybridization
DNA sequencing by hybridization (SBH) induces errors in the biochemical experiment. Some of them are random and disappear when the experiment is repeated. Others are systematic, i...
Jacek Blazewicz, Fred Glover, Marta Kasprzak, Wojc...
DAC
2006
ACM
16 years 4 months ago
Novel full-chip gridless routing considering double-via insertion
As the technology node advances into the nanometer era, via-open defects are one of the dominant failures. To improve via yield and reliability, redundant-via insertion is a highl...
Huang-Yu Chen, Mei-Fang Chiang, Yao-Wen Chang, Lum...
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 3 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
130
Voted
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 7 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li