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ICAI
2004
13 years 6 months ago
Task Oriented Machine-Learning and Review
We propose an optimization algorithm to execute a previously unlearned task-oriented command in an intelligent machine. We show that a well-defined, physically bounded, task-orien...
Pierre Abdelmalek, Howard E. Michel
EMNLP
2006
13 years 6 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
PVLDB
2010
110views more  PVLDB 2010»
13 years 3 months ago
Evaluation of entity resolution approaches on real-world match problems
Despite the huge amount of recent research efforts on entity resolution (matching) there has not yet been a comparative evaluation on the relative effectiveness and efficiency of ...
Hanna Köpcke, Andreas Thor, Erhard Rahm
GPEM
2002
104views more  GPEM 2002»
13 years 5 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
ICMLC
2010
Springer
13 years 3 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu