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ALT
1998
Springer
13 years 11 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
CANDC
2005
ACM
13 years 7 months ago
Integer linear programming as a tool for constructing trees from quartet data
The task of the quartet puzzling problem is to find a best-fitting binary X-tree for a finite n-set from confidence values for the 3 n 4 binary trees with exactly four leaves from...
Jan Weyer-Menkhoff, Claudine Devauchelle, Alexande...
BIOCOMP
2006
13 years 8 months ago
An Approach to Selecting Putative RNA Motifs Using MDL Principle
The history of molecular biology is punctuated by a series of discoveries demonstrating the surprising breadth of biological roles of ribonucleic acid (RNA). An ensemble of evoluti...
Mohammad Anwar, Marcel Turcotte
AUTOMATICA
2006
125views more  AUTOMATICA 2006»
13 years 7 months ago
Optimization over state feedback policies for robust control with constraints
This paper is concerned with the optimal control of linear discrete-time systems, which are subject to unknown but bounded state disturbances and mixed constraints on the state an...
Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejow...
JMLR
2010
230views more  JMLR 2010»
13 years 2 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...