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» The Predictability of Data Values
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VLDB
2005
ACM
120views Database» more  VLDB 2005»
15 years 6 months ago
Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases
With the increasing occurrence of temporal and spatial data in present-day database applications, the interval data type is adopted by more and more database systems. For an effic...
Jost Enderle, Nicole Schneider, Thomas Seidl
ECML
2004
Springer
15 years 6 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
96
Voted
AAAI
2010
15 years 2 months ago
Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models
The current methods used to mine and analyze temporal social network data make two assumptions: all edges have the same strength, and all parameters are time-homogeneous. We show ...
Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes
92
Voted
CLEIEJ
2008
115views more  CLEIEJ 2008»
15 years 24 days ago
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction
Data Mining is a process related to analysis, understanding and knowledge extraction from databases. In order to perform this process it is usually necessary to represent the data...
Daniel de Faveri Honorato, Everton Alvares Cherman...
163
Voted
AAMAS
2011
Springer
14 years 7 months ago
Aggregating value ranges: preference elicitation and truthfulness
We study the case where agents have preferences over ranges (intervals) of values, and we wish to elicit and aggregate these preferences. For example, consider a set of climatologi...
Joseph Farfel, Vincent Conitzer