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» Using Data Mining to Estimate Missing Sensor Data
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ICRA
2002
IEEE
123views Robotics» more  ICRA 2002»
15 years 11 months ago
Sensor Fusion of Structure-from-Motion, Bathymetric 3D, and Beacon-Based Navigation Modalities
This paper describes an approach for the fusion of 3D data underwater obtained from multiple sensing modalities. In particular, we examine the combination of imagebased Structure-...
Hanumant Singh, Garbis Salgian, Ryan Eustice, Robe...
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
16 years 21 days ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
16 years 14 days ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 6 months ago
Fastanova: an efficient algorithm for genome-wide association study
Studying the association between quantitative phenotype (such as height or weight) and single nucleotide polymorphisms (SNPs) is an important problem in biology. To understand und...
Xiang Zhang, Fei Zou, Wei Wang 0010
INCDM
2009
Springer
96views Data Mining» more  INCDM 2009»
16 years 21 days ago
Ordinal Evaluation: A New Perspective on Country Images
We present a novel use of ordinal evaluation (OrdEval) algorithm as a promising technique to study various marketing phenomena. OrdEval algorithm has originated in data mining and ...
Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof