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GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 2 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
TRECVID
2008
13 years 10 months ago
Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval
We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Ru...
IJET
2008
108views more  IJET 2008»
13 years 9 months ago
Moving towards a Fully Automatic Knowledge Assessment Tool
Information about a student's level or state of knowledge is a key aspect for efficient, personalized learning activities. E-learning systems gain such information in two ways...
Christian Guetl
ADAPTIVE
2007
Springer
14 years 3 months ago
Case-Based Recommendation
Abstract. Data Mining, or Knowledge Discovery as it is also known, is becoming increasingly useful in a wide variety of applications. In the following paper, we look at its use in ...
Barry Smyth
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
14 years 9 months ago
DataLens: making a good first impression
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
Bin Liu, H. V. Jagadish