Semi-supervised learning for feature selection and classification of data /
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2019.
|
| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/10006/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01516cam a2200373 i 4500 | ||
|---|---|---|---|
| 001 | u1110355 | ||
| 003 | SIRSI | ||
| 005 | 201904041534 | ||
| 008 | 190404s2019 my m 000 0 eng | ||
| 040 | |a UMM |d UMJ |d AUM |e rda | ||
| 043 | |a a-my--- | ||
| 090 | |a TK7 |b UMP 2019 Gan | ||
| 097 | |a TK7 |b UMP 2019 Gan | ||
| 100 | 0 | |a Ganesh Krishnasamy, |e author. | |
| 245 | 1 | 0 | |a Semi-supervised learning for feature selection and classification of data / |c Ganesh Krishnasamy. |
| 264 | 1 | |c 2019. | |
| 300 | |a xv, 102 leaves : |b illustrations ; |c 30 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2019. | ||
| 504 | |a Bibliography: leaves 81-94. | ||
| 530 | |a Also issued in CD. | ||
| 596 | |a 1 7 25 | ||
| 650 | 0 | |a Supervised learning (Machine learning). | |
| 650 | 0 | |a Algorithms. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/10006/ |
| 900 | |a NSR NSM | ||
| 999 | |a TK7 UMP 2019 GAN |w LC |c 1 |i A517340625 |f 22/4/2019 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 22/4/2019 |1 STEM | ||
| 999 | |a TK7 UMP 2019 GAN |w LC |c 1 |i A516955503 |f 9/5/2019 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 9/5/2019 |1 STEM | ||
| 999 | |a TK7 UMP 2019 GAN |w LC |c 1 |i A517196441 |f 29/7/2019 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 29/7/2019 |1 STEM |o .STAFF. MST-CD9292 | ||