Minggu, Agustus 23, 2009

3D Stereograms

3D Stereograms
Pdf | 15 pgs | 8 mb

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Shutterstock - Name Card Templates

Shutterstock - Name Card Templates
4 eps | 300 dpi | 3 mb

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Sabtu, Agustus 22, 2009

Michael Franks: Rendezvous in Rio (2006)

Michael Franks: Rendezvous in Rio (2006)
10 Mp3 | 497Kbps | 69mb
Musicians:
Wolfgang Haffner, Chuck Loeb, Carmen Cuesta, Charlez Blenzig, Romero Lubambo, Sergio Brandau, Café, Chris Hunter, Veronica Nunn, Robbie Dupree, Leslie Ritter, Beth Reineke, Brian Dunne, Pamela Driggs, David Sancious, Marc Shulman, Scott Petito, Jerry Marotta, Jeff Lorber, Dwight Sills, Alex Al, Michael White, Gary Meek, Roger Burnm Eric Marienthal, Vinnie Colaiuta, Jimmy Haslip, Andy Suzuki, Mike De Micco, Travis Shook, Jay Azzolina

Tracks list:
1.Under the Sun
2.Rendezvous in Rio
3.The Cool School
4.Samba Do Soho
5.The Critics Are Never Kind
6.Scatsville
7.The Chemistry of Love
8.Hearing Take Five
9.The Question Is Why
10.Songbirds
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Foot Reflexology

Foot Reflexology
NavNeet | Dr. Dhiren Gala | 75 pgs | 18 mb
Like acupuncture and acupressure, reflexology is a therapeutic science of stimulating specific regions [on the soles] which have a correspondence with the internal organs and other structures of the body. Acupuncture and reflexology cause their healing effects by stimulating the flow of 'Qi' energy.

How reflexology works, is an enigma. The same question is just as complex to answer when applied to widely used therapies like aspirin or naesthesia. Acupuncture and reflexology are also, therefore, used on a similar empirical
basis as they are safe, simple, effective and economical.
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Statistical Data Mining and Knowledge Discovery

Statistical Data Mining and Knowledge Discovery
Hamparsum Bozdogan | ISBN 1-58488-344-8 | 595 pgs | 24 mb
  • 1. The Role of Bayesian and Frequentist MultivariateModeling in Statistical DataMining
  • 2. Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms
  • 3. Econometric and Statistical Data Mining, Prediction and Policy-Making
  • 4. Data Mining Strategies for the Detection of Chemical Warfare Agents
  • 5. Disclosure LimitationMethods Based on Bounds for Large Contingency Tables With Applications to Disability
  • 6. Partial Membership Models with Application to Disability Survey Data
  • 7. Automated Scoring of Polygraph Data
  • 8. Missing Value Algorithms in Decision Trees
  • 9. Unsupervised Learning from Incomplete Data Using a Mixture Model Approach
  • 10. Improving the Performance of Radial Basis Function (RBF) Classification Using Information Criteria
  • 11. Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants
  • 12. Data Mining and Traditional Regression
  • 13. An Extended Sliced Inverse Regression
  • 14. Using Genetic Programming to Improve the Group Method of Data Handling in Time Series Prediction
  • 15. Data Mining for Monitoring Plant Devices Using GMDH and Pattern Classification
  • 16. Statistical Modeling and Data Mining to Identify Consumer Preferences
  • 17. Testing for Structural Change Over Time of Brand Attribute Perceptions in Market Segments
  • 18. Kernel PCA for Feature Extraction with Information Complexity
  • 19. Global Principal Component Analysis for DimensionalityReduction in Distributed Data Mining
  • 20. A New Metric for Categorical Data
  • 21. Ordinal Logistic Modeling Using ICOMP as a Goodness-of-Fit Criterion
  • 22. Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining
  • 23. On Cluster Effects in Mining Complex Econometric Data
  • 24. Neural Network-Based Data Mining Techniques for Steel Making
  • 25. Solving Data Clustering Problem as a String Search Problem
  • 26. Behavior-Based Recommender Systems as Value-Added Services for Scientific Libraries
  • 27. GTP (General Text Parser) Software for Text Mining
  • 28. Implication Intensity: From the Basic Statistical Definition to the Entropic Version
  • 29. Use of a Secondary Splitting Criterion in Classification Forest Construction
  • 30. A Method Integrating Self-Organizing Maps to Predict the Probability of Barrier Removal
  • 31. Cluster Analysis of Imputed Financial Data Using an Augmentation-Based Algorithm
  • 32. Data Mining in Federal Agencies
  • 33. STING: Evaluation of Scientific&Technological Innovation and Progress
  • 34. The Semantic Conference Organizer
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