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IDEAL
2004
Springer
14 years 1 months ago
Summarizing Time Series: Learning Patterns in 'Volatile' Series
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
Saif Ahmad, Tugba Taskaya-Temizel, Khurshid Ahmad
EDM
2010
125views Data Mining» more  EDM 2010»
13 years 9 months ago
Where in the World? Demographic Patterns in Access Data
As learning environments become increasingly available online, the fine-grained records of user activities can be captured and analyzed (generally called webmetrics) to better unde...
Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garr...
WSCG
2000
84views more  WSCG 2000»
13 years 9 months ago
New Theory of Pattern Recognition on the Basis of Stochastic Geometry
The article offers a new approach towards the construction of recognition features independent of images' displacement or linear deformation. The distinguishing characteristi...
Nikolay G. Fedotov, Luydmila A. Shulga
ILP
2007
Springer
14 years 2 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
ILP
2003
Springer
14 years 1 months ago
Relational IBL in Music with a New Structural Similarity Measure
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
Asmir Tobudic, Gerhard Widmer