Reformasi piecewise polynomial smooth support vector machine untuk klasifikasi desa tertinggal di provinsi Kalimantan Timur tahun 2011
Ita Wulandari;
(Sekolah Tinggi Ilmu Statistik (STIS-Statistics Institute Jakarta, 2015)
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| One of most popular techniques of binary data classification in machine learning is support vector machine (SVM). SVM can be applied extensively in many fields such as pattern recognition regression analysis and probability estimation. SVM uses optimization wth quadratic programming which become unefficient when applied in a high dimensioal large dataset. Hence researchers develop |
| No. Panggil : | 600 JASKS 7:1 (2015) |
| Entri utama-Nama orang : | |
| Subjek : | |
| Penerbitan : | Jakarta: Sekolah Tinggi Ilmu Statistik (STIS-Statistics Institute Jakarta, 2015 |
| Sumber Pengatalogan : | |
| ISSN : | 20864132 |
| Majalah/Jurnal : | Jurnal Aplikasi statistika dan komputasi statistik 7:1 (2015) Hal. 21-44 |
| Volume : | vol 7 no 1 Th 2015 Hal.: 21- 44 |
| Tipe Konten : | text |
| Tipe Media : | unmediated |
| Tipe Carrier : | volume (rdcarrier) |
| Akses Elektronik : | |
| Institusi Pemilik : | Perpustakaan Universitas Indonesia |
| Lokasi : | Perpustakaan UI, Lantai 4 (Ruang. koleksi jurnal) |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| 600 JASKS 7:1 (2015) | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20428580 |
