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IPMU
2010
Springer
14 years 12 months ago
On Nonparametric Predictive Inference for Ordinal Data
Abstract. Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, mad...
Frank P. A. Coolen, Pauline Coolen-Schrijner, Taha...
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
14 years 11 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
ESANN
2003
14 years 11 months ago
Semi-automatic acquisition and labelling of image data using SOMs
Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...
Gunther Heidemann, Axel Saalbach, Helge Ritter
CORR
2010
Springer
61views Education» more  CORR 2010»
14 years 10 months ago
Utility and Privacy of Data Sources: Can Shannon Help Conceal and Reveal Information?
Abstract-- The problem of private information "leakage" (inadvertently or by malicious design) from the myriad large centralized searchable data repositories drives the n...
Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poo...
ALGORITHMICA
2005
76views more  ALGORITHMICA 2005»
14 years 9 months ago
Characterizing History Independent Data Structures
We consider history independent data structures as proposed for study by Naor and Teague [3]. In a history independent data structure, nothing can be learned from the memory repre...
Jason D. Hartline, Edwin S. Hong, Alexander E. Moh...