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The Landmark Selection Method for Multiple Output Prediction

The Landmark Selection Method for Multiple Output Prediction

27 June 2012
Krishnakumar Balasubramanian
Guy Lebanon
ArXivPDFHTML

Papers citing "The Landmark Selection Method for Multiple Output Prediction"

6 / 6 papers shown
Title
On Riemannian Approach for Constrained Optimization Model in Extreme
  Classification Problems
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems
Jayadev Naram
Tanmay Sinha
Pawan Kumar
46
1
0
30 Sep 2021
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
40
252
0
23 Nov 2020
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
Maryam Majzoubi
A. Choromańska
22
11
0
24 May 2019
Ranking-Based Autoencoder for Extreme Multi-label Classification
Ranking-Based Autoencoder for Extreme Multi-label Classification
Bingyu Wang
Li-Wei Chen
Wei Sun
Kechen Qin
Kefeng Li
Hui Zhou
30
15
0
11 Apr 2019
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee
Wei Fang
Chih-Kuan Yeh
Y. Wang
VLM
37
280
0
17 Nov 2017
Cost-Sensitive Label Embedding for Multi-Label Classification
Cost-Sensitive Label Embedding for Multi-Label Classification
Kuan-Hao Huang
Hsuan-Tien Lin
14
56
0
30 Mar 2016
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