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» Measuring the Complexity of Classification Problems
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COLT
1999
Springer
14 years 11 days ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...
CIKM
2008
Springer
13 years 10 months ago
Information shared by many objects
If Kolmogorov complexity [25] measures information in one object and Information Distance [4, 23, 24, 42] measures information shared by two objects, how do we measure information...
Chong Long, Xiaoyan Zhu, Ming Li, Bin Ma
CHI
2009
ACM
14 years 23 days ago
Supporting content and process common ground in computer-supported teamwork
We build on our prior work with computer-supported teams performing a complex decision-making task on maps, where the distinction between content and process common ground is prop...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
13 years 12 months ago
Data Discretization Unification
Data discretization is defined as a process of converting continuous data attribute values into a finite set of intervals with minimal loss of information. In this paper, we prove...
Ruoming Jin, Yuri Breitbart, Chibuike Muoh
FINTAL
2006
13 years 11 months ago
Analysis of EU Languages Through Text Compression
In this article, we are studying the differences between the European languages using statistical and unsupervised methods. The analysis is conducted in different levels of languag...
Kimmo Kettunen, Markus Sadeniemi, Tiina Lindh-Knuu...