The Learning Tree - PDFSEARCH.IO - Document Search Engine

The Learning Tree
Results: 269

#	Item
51	Approximating TSP on Metrics with Bounded Global Growth∗ T-H. Hubert Chan Abstract The Traveling Salesman Problem (TSP) is a canonical NP-complete problem which is known to be MAXSNP hard even on (high-dimensional) Euc Add to Reading List Source URL: i.cs.hku.hk Language: English - Date: 2007-10-10 14:10:39 Metric geometry Dimension theory Fractals Machine learning Mathematical analysis Travelling salesman problem Tree decomposition Ε-net Nearest neighbor search Mathematics Theoretical computer science Geometry
52	Name Writing and Learning Numbers How many pictures of a tree are on this page? Trace the number here, then write it on your own. Add to Reading List Source URL: www.northpole.com Language: English - Date: 2013-10-04 15:38:18 Data management Library science Monopoly Intellectual property law Information Copyright
53	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables? Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:41 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
54	Apple Blossom Tree Objective: Apple trees bloom in the spring and ripen in the fall. Use this activity to learn more about the apple life cycle. Illinois Learning Standards: 12.A.1a; 12A.2a; 12.A.1b; 12.A.2b Assessment F Add to Reading List Source URL: www.agintheclassroom.org Language: English - Date: 2012-04-11 09:18:38 Visual arts Biology Blossom Paper Tree Apple Plants Printing Paper art
55	Tubu Tree Camp Classic Wilderness Camp Location • In the Jao Concession, on Hunda Island, western Okavango Delta. • Bordering Moremi Game Reserve. Seasons / Child Policy Add to Reading List Source URL: www.trauminselreisen.de Language: English - Date: 2011-07-27 09:04:01 Camping Learning Action Knowledge Survival skills Camping equipment Tent
56	Improving the Accuracy of Decision Tree Induction by Feature Pre-Selection Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:20:34 Decision trees Dimension reduction Feature selection Model selection Search algorithms C4.5 algorithm Algorithm Pattern recognition K-nearest neighbor algorithm Machine learning Artificial intelligence Mathematics
57	Texture Classification based on the Boolean Model and its Application to Hep-2 Cells Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:21:17 Artificial intelligence Learning Decision tree learning Boolean model Statistical classification Decision tree model Random forest Machine learning Decision trees Computational statistics
58	Classification of HEp-2 Cells using Fluorescent Image Analysis and Data Mining Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:21:20 Statistical classification Pattern recognition Feature extraction Linear discriminant analysis Feature Data mining Decision tree learning Boosting methods for object categorization Book:Machine Learning - The Complete Guide Statistics Machine learning Artificial intelligence
59	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-01-30 12:07:07 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
60	software review Deeper into the Trees A new hybrid CHAID application analyzes multiple dependent variables. By Ken Deal Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:48:55 Regression analysis CHAID Market research Marketing Product management SPSS Latent class model Market segmentation Decision tree learning Statistics Computational statistics Decision trees

UPDATE