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ICML
2005
IEEE
14 years 7 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
13 years 4 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
PR
2007
107views more  PR 2007»
13 years 5 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris
PROMISE
2010
13 years 1 months ago
Prediction of defect distribution based on project characteristics for proactive project management
As software has been pervasive and various software projects have been executed since the 1970s, software project management has played a significant role in software industry. Th...
Youngki Hong, Wondae Kim, Jeongsoo Joo
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
14 years 6 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang