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TIP
2008
154views more  TIP 2008»
13 years 7 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
JBI
2004
171views Bioinformatics» more  JBI 2004»
13 years 9 months ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
NIPS
2007
13 years 9 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
ECAI
2010
Springer
13 years 7 months ago
Brothers in Arms? On AI Planning and Cellular Automata
AI Planning is concerned with the selection of actions towards achieving a goal. Research on cellular automata (CA) is concerned with the question how global behaviours arise from ...
Jörg Hoffmann, Nazim Fatès, Héc...
CIDR
2011
234views Algorithms» more  CIDR 2011»
12 years 11 months ago
SWissBox: An Architecture for Data Processing Appliances
Database appliances offer fully integrated hardware, storage, operating system, database, and related software in a single package. Database appliances have a relatively long hist...
Gustavo Alonso, Donald Kossmann, Timothy Roscoe