Runtime Optimizations for Tree-Based Machine Learning Models
Publisher:
Year
: 2014DOI: 10.1109/TKDE.2013.73
Keyword(s): Internet,cache storage,information retrieval,learning (artificial intelligence),regression analysis,tree data structures,Web ranking,cache-conscious fashion,data structures,execution flow,gradient-boosted regression trees,learning-to-rank datasets,microbatching predictions,predication technique,processor architectures,runtime performance optimizations,superscalar processors,synthetic data,tree-based machine learning models,vectorization technique,Arrays,Indexes,Optimization
Collections
:
-
Statistics
Runtime Optimizations for Tree-Based Machine Learning Models
Show full item record
| contributor author | Asadi, Nima | |
| contributor author | Lin, James | |
| contributor author | de Vries, Arjen P. | |
| date accessioned | 2020-03-12T18:23:10Z | |
| date available | 2020-03-12T18:23:10Z | |
| date issued | 2014 | |
| identifier issn | 1041-4347 | |
| identifier other | 6513227.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/956718 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Runtime Optimizations for Tree-Based Machine Learning Models | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7988822 | |
| subject keywords | Internet | |
| subject keywords | cache storage | |
| subject keywords | information retrieval | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | regression analysis | |
| subject keywords | tree data structures | |
| subject keywords | Web ranking | |
| subject keywords | cache-conscious fashion | |
| subject keywords | data structures | |
| subject keywords | execution flow | |
| subject keywords | gradient-boosted regression trees | |
| subject keywords | learning-to-rank datasets | |
| subject keywords | microbatching predictions | |
| subject keywords | predication technique | |
| subject keywords | processor architectures | |
| subject keywords | runtime performance optimizations | |
| subject keywords | superscalar processors | |
| subject keywords | synthetic data | |
| subject keywords | tree-based machine learning models | |
| subject keywords | vectorization technique | |
| subject keywords | Arrays | |
| subject keywords | Indexes | |
| subject keywords | Optimization | |
| identifier doi | 10.1109/TKDE.2013.73 | |
| journal title | Knowledge and Data Engineering, IEEE Transactions on | |
| journal volume | 26 | |
| journal issue | 9 | |
| filesize | 1037529 | |
| citations | 0 |