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CIDM
2009
IEEE
15 years 4 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
DDECS
2007
IEEE
201views Hardware» more  DDECS 2007»
15 years 4 months ago
Built in Defect Prognosis for Embedded Memories
: As scan compression replaces the traditional scan it is important to understand how it works with power. DFT MAX represents one of the two primary scan compression solutions used...
Prashant Dubey, Akhil Garg, Sravan Kumar Bhaskaran...
HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
15 years 3 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 1 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
SDM
2008
SIAM
122views Data Mining» more  SDM 2008»
14 years 11 months ago
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu