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Multi-label classification
Known as:
Algorithm adaptation methods
, Multi-label
, RAKEL
In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification…
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Related topics
Related topics
24 relations
AdaBoost
Binary classification
Boosting (machine learning)
Categorization
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Multi-label text classification using optimised feature sets
J. Maruthupandi
,
K. Devi
International Journal of Data Mining Modelling…
2017
Corpus ID: 21520811
Multi-label text classification is the process of assigning multi-labels to an instance. A significant aspect of the text…
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2016
2016
Benchmarking Multi-label Classification Algorithms
A. Pakrashi
,
Derek Greene
,
Brian Mac Namee
Irish Conference on Artificial Intelligence and…
2016
Corpus ID: 12394735
24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS'16), Dublin, Ireland, 20-21 September 2016
2014
2014
Robust Semi-Automatic Depth Map Generation in Unconstrained Images and Video Sequences for 2D to Stereoscopic 3D Conversion
Raymond Phan
,
D. Androutsos
IEEE transactions on multimedia
2014
Corpus ID: 5928873
We describe a system for robustly estimating synthetic depth maps in unconstrained images and videos, for semi-automatic…
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2014
2014
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion
Reem Al-Otaibi
,
Meelis Kull
,
Peter A. Flach
International Conference on Machine Learning and…
2014
Corpus ID: 18370551
Dealing with multiple labels is a supervised learning problem of increasing importance. Multi-label classifiers face the…
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Highly Cited
2013
Highly Cited
2013
GURLS: a least squares library for supervised learning
Andrea Tacchetti
,
P. Mallapragada
,
M. Santoro
,
L. Rosasco
Journal of machine learning research
2013
Corpus ID: 6369024
We present GURLS, a least squares, modular, easy-to-extend software library for efficient supervised learning. GURLS is targeted…
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2013
2013
Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs
Zhiguang Liu
,
Xishuang Dong
,
Y. Guan
,
Jinfeng Yang
International Joint Conference on Natural…
2013
Corpus ID: 13165418
The imbalanced sentiment distribution of microblogs induces bad performance of binary classifiers on the minority class. To…
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2011
2011
Ontology-based multi-label classification of economic articles
Sergeja Vogrincic
,
Z. Bosnić
Computer Science and Information Systems
2011
Corpus ID: 15474559
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents…
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Highly Cited
2010
Highly Cited
2010
An integration of WordNet and fuzzy association rule mining for multi-label document clustering
Chun-Ling Chen
,
F. S. Tseng
,
Tyne Liang
Data & Knowledge Engineering
2010
Corpus ID: 21441233
2010
2010
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Yahong Han
,
Fei Wu
,
Jinzhu Jia
,
Yueting Zhuang
,
Bin Yu
AAAI Conference on Artificial Intelligence
2010
Corpus ID: 14529061
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of…
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2008
2008
Extracting Shared Subspaces for Multi-label Classification
Shuiwang Ji Lei
,
Tang
,
Shipeng Yu
,
Jieping Ye
2008
Corpus ID: 27955387
Multi-label problems arise in various domains such as multi-topic web page categorization, protein function prediction, and…
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