21![2010 IEEE International Conference on Data Mining A Log-Linear Model with Latent Features for Dyadic Prediction Aditya Krishna Menon Department of Computer Science and Engineering University of California, San Diego 2010 IEEE International Conference on Data Mining A Log-Linear Model with Latent Features for Dyadic Prediction Aditya Krishna Menon Department of Computer Science and Engineering University of California, San Diego](https://www.pdfsearch.io/img/3a32864b80a5d5f09923d3476c88b311.jpg) | Add to Reading ListSource URL: cseweb.ucsd.eduLanguage: English - Date: 2010-12-17 04:55:45
|
---|
22![Packaging, Pallet, Bar Code & Labelling Specifications For Consumer Units, Trade Units and Logistic Units August 2010 Vendor Release Version: v2 BIGWPackagingPalletBarcodeandLabellingSpec1107 Packaging, Pallet, Bar Code & Labelling Specifications For Consumer Units, Trade Units and Logistic Units August 2010 Vendor Release Version: v2 BIGWPackagingPalletBarcodeandLabellingSpec1107](https://www.pdfsearch.io/img/afff7aee638ec6b26dcb0d2d970ea3b4.jpg) | Add to Reading ListSource URL: www.bigw.com.auLanguage: English - Date: 2014-08-27 23:34:02
|
---|
23![University of Washington Department of Computer Science and Engineering / Department of Statistics CSE[removed]Stat 548 Machine Learning (Statistics) for Big Data Homework 1 Spring 2015 Issued: Thursday, April 2, 2015 University of Washington Department of Computer Science and Engineering / Department of Statistics CSE[removed]Stat 548 Machine Learning (Statistics) for Big Data Homework 1 Spring 2015 Issued: Thursday, April 2, 2015](https://www.pdfsearch.io/img/ca72d4aa86e477c0d8eb5e0b94cced79.jpg) | Add to Reading ListSource URL: courses.cs.washington.eduLanguage: English - Date: 2015-04-03 01:53:19
|
---|
24![SANGP100 - Chap7 - Logistic Support Doctrine SANGP100 - Chap7 - Logistic Support Doctrine](https://www.pdfsearch.io/img/e97b63811eb1eadbe585763518b7b07b.jpg) | Add to Reading ListSource URL: www.navy.mil.zaLanguage: English - Date: 2015-01-30 02:05:21
|
---|
25![Issue 4.7 august[removed]Published by the Logistics Association of Australia Ltd Dispatch National Events Issue 4.7 august[removed]Published by the Logistics Association of Australia Ltd Dispatch National Events](https://www.pdfsearch.io/img/7ce0eb7e441328618f3d537624a15835.jpg) | Add to Reading ListSource URL: www.laa.asn.auLanguage: English - Date: 2011-05-26 03:51:30
|
---|
26![Issue 7.2 MARCH[removed]Published by the Logistics Association of Australia Ltd Dispatch National Events Issue 7.2 MARCH[removed]Published by the Logistics Association of Australia Ltd Dispatch National Events](https://www.pdfsearch.io/img/767d1d7d134ea2c458adae51324dda5f.jpg) | Add to Reading ListSource URL: www.laa.asn.auLanguage: English - Date: 2012-07-12 23:20:45
|
---|
27![6156-A1034 FB_Hor_Tag_Process FA1 6156-A1034 FB_Hor_Tag_Process FA1](https://www.pdfsearch.io/img/0d626c1414b5a8ed7a5125788ff3bc7f.jpg) | Add to Reading ListSource URL: www.laa.asn.auLanguage: English - Date: 2013-10-09 20:52:49
|
---|
28![For discussion on 6 January 2003 Legislative Council Panel on Financial Affairs Organizational Review for Logistic Support Departments under the Financial Services and the Treasury Bureau For discussion on 6 January 2003 Legislative Council Panel on Financial Affairs Organizational Review for Logistic Support Departments under the Financial Services and the Treasury Bureau](https://www.pdfsearch.io/img/a7403fc1f08f3fd7fe9a961ff5e99999.jpg) | Add to Reading ListSource URL: www.legco.gov.hkLanguage: English - Date: 2005-01-11 03:44:32
|
---|
29![Fitting probability distributions to reliability data for calculation of STPIS values 29 May 2012 Fitting probability distributions to reliability data for calculation of STPIS values 29 May 2012](https://www.pdfsearch.io/img/dd73711ee1009c80c85a52cb866ba46f.jpg) | Add to Reading ListSource URL: www.aer.gov.auLanguage: English - Date: 2012-08-27 17:52:49
|
---|
30![Microcomputers in Civil Engineering[removed]–276 Using Machine Learning, Neural Networks, and Statistics to Predict Corporate Bankruptcy P. P. M. Pompe∗ University of Twente, School of Management Science, 7500 Microcomputers in Civil Engineering[removed]–276 Using Machine Learning, Neural Networks, and Statistics to Predict Corporate Bankruptcy P. P. M. Pompe∗ University of Twente, School of Management Science, 7500](https://www.pdfsearch.io/img/4e1a9a156c050bdae6916893345cf727.jpg) | Add to Reading ListSource URL: doc.utwente.nlLanguage: English - Date: 2011-08-28 11:12:33
|
---|