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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 9 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
ACL
2008
13 years 10 months ago
Phrase Chunking Using Entropy Guided Transformation Learning
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Ruy Luiz Milidiú, Cícero Nogueira do...
SAC
2003
ACM
14 years 2 months ago
Greedy Heuristics and an Evolutionary Algorithm for the Bounded-Diameter Minimum Spanning Tree Problem
Given a connected, weighted, undirected graph G and a bound D, the bounded-diameter minimum spanning tree problem seeks a spanning tree on G of lowest weight in which no path betw...
Günther R. Raidl, Bryant A. Julstrom
FOIKS
2010
Springer
14 years 3 months ago
Evolving Schemas for Streaming XML
A. Falappa, an Abstract Dialogue Framework Guillermo R. Simari Regular Helena Kein¨anen An Algorithm for Generating Nash Stable Coalition Structures in Hedonic Games 15:30-16:00 A...
Maryam Shoaran, Alex Thomo
NIPS
2001
13 years 10 months ago
Kernel Machines and Boolean Functions
We give results about the learnability and required complexity of logical formulae to solve classification problems. These results are obtained by linking propositional logic with...
Adam Kowalczyk, Alex J. Smola, Robert C. Williamso...