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DIS
2004
Springer
15 years 10 months ago
Maximum a Posteriori Tree Augmented Naive Bayes Classifiers
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
Jesús Cerquides, Ramon López de M&aa...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
INFOCOM
2007
IEEE
16 years 20 days ago
G-3: An O(1) Time Complexity Packet Scheduler That Provides Bounded End-to-End Delay
— In this paper, we present an O(1) time-complexity packet scheduling algorithm which we call G-3 that provides bounded end-to-end delay for fixed size packet networks. G-3 is b...
Chuanxiong Guo
PRL
2008
213views more  PRL 2008»
15 years 6 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
FLAIRS
2004
15 years 7 months ago
An Application of Neural Networks to Sequence Analysis and Genre Identification
This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the ...
David Bisant