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» Evaluating Adaptive Problem Selection
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AH
2004
Springer
13 years 10 months ago
Evaluating Adaptive Problem Selection
: This paper presents an evaluation study that compares two different problem selection strategies for an Intelligent Tutoring System (ITS). The first strategy uses static problem ...
Antonija Mitrovic, Brent Martin
ICDE
2004
IEEE
85views Database» more  ICDE 2004»
14 years 6 months ago
Selectivity Estimation for String Predicates: Overcoming the Underestimation Problem
Queries with (equality or LIKE) selection predicates over string attributes are widely used in relational databases. However, state-of-the-art techniques for estimating selectivit...
Surajit Chaudhuri, Venkatesh Ganti, Luis Gravano
EMO
2006
Springer
172views Optimization» more  EMO 2006»
13 years 8 months ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
ICIP
2007
IEEE
13 years 11 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...
SIGIR
2012
ACM
11 years 7 months ago
An uncertainty-aware query selection model for evaluation of IR systems
We propose a mathematical framework for query selection as a mechanism for reducing the cost of constructing information retrieval test collections. In particular, our mathematica...
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayl...