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» Learning from Multiple Sources of Inaccurate Data
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MLDM
2009
Springer
15 years 8 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
135
Voted
IJWET
2010
104views more  IJWET 2010»
15 years 2 months ago
Configurable meta-search in the job domain
: To aid job seekers searching for job vacancies, we have developed a new configurable meta-search engine for the human resources domain. In this paper we describe the three main c...
Tabbasum Naz, Jürgen Dorn, Alexandra Poulovas...
133
Voted
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 7 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
124
Voted
ATAL
2007
Springer
15 years 9 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
173
Voted
BMCBI
2011
14 years 10 months ago
PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
Background: OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth condit...
Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T...