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AI
1998
Springer
14 years 1 days ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih
STOC
1994
ACM
128views Algorithms» more  STOC 1994»
13 years 12 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
IJCNN
2008
IEEE
14 years 2 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
SAT
2004
Springer
85views Hardware» more  SAT 2004»
14 years 1 months ago
Visualizing the Internal Structure of SAT Instances (Preliminary Report)
Modern algorithms for the SAT problem reveal an almost tractable behavior on “real-world” instances. This is frequently contributed to the fact that these instances possess an ...
Carsten Sinz
ICDE
2011
IEEE
338views Database» more  ICDE 2011»
12 years 11 months ago
Outlier detection on uncertain data: Objects, instances, and inferences
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
Bin Jiang, Jian Pei