A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning
[article]
2021
arXiv
pre-print
Preserved Fulltext
To address the mentioned limitations, in this paper we propose a novel Noise-aware Semi-supervised Variational User Identity Linkage (NSVUIL) model. ...
Existing approaches usually first embed the identities as deterministic vectors in a shared latent space, and then learn a classifier based on the available annotations. ...
based variational
be easily clustered into the same group. ...
arXiv:2112.07373v1
fatcat:e6zcnwrxifasbdmffrvqzmejiq
A survey on different dimensions for graphical keyword extraction techniques: Issues and Challenges
2021
Artificial Intelligence Review
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
To elucidate these different dimensions, a comprehensive survey of GKET is carried in different domains to make some inferences out of the existing literature. ...
approaches are identified for different dimensions, namely, GoW representation: 'Line Graphs' and 'Bigram Words Graphs'; Feature extraction and selection using eigenvalues: 'Random Walk' and 'Spectral Clustering ...
is a data reduction method that employs the correlation matrix of the features. ...
doi:10.1007/s10462-021-10010-6
pmid:33907346
pmcid:PMC8062621
fatcat:a4boojb4vrebtkoqwn3l66zo7e
A Survey on Multi-Task Learning
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In order to improve the performance of learning tasks further, MTL can be combined with other learning paradigms including semi-supervised learning, active learning, unsupervised learning, reinforcement ...
In this paper, we give a survey for MTL. ...
Hence semi-supervised learning and active learning can be combined with MTL, leading to three new learning paradigms including semi-supervised multitask learning [117] , [118] , [119] , multi-task active ...
arXiv:1707.08114v2
fatcat:6lrpe4nk45djbjyfjco7t4yfme
Second order probabilistic models for within-document novelty detection in academic articles
2014
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
The Correlation between Cluster Hypothesis Tests and the Effectiveness of Cluster-Based Retrieval Fiana Raiber, Oren Kurland 84. ...
Callan Gaussian Process Factorization Machines for Context-Aware Recommendations Trung Nguyen, Alexandros Karatzoglou, Linas Baltrunas Addressing Cold Start in Recommender Systems: A Semi-Supervised ...
doi:10.1145/2600428.2609520
dblp:conf/sigir/ParkS14
fatcat:ye2rtri2xjbyrjvkkzgt7srcfu
The Emerging Trends of Multi-Label Learning
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2011.11197v1 fatcat:zexkygo5tzf4pi7p2ig45kjdeuOther Versions
data with limited supervision to build a multi-label classification model becomes valuable for practical applications, etc. ...
For example, extreme multi-label classification is an active and rapidly growing research area that deals with classification tasks with an extremely large number of classes or labels; utilizing massive ...
within a cluster ...
arXiv:2011.11197v2
fatcat:hu6w4vgnwbcqrinrdfytmmjbjm
Using Hashtag Graph-Based Topic Model to Connect Semantically-Related Words Without Co-Occurrence in Microblogs
2016
IEEE Transactions on Knowledge and Data Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper, treating tweets as semi-structured texts, we propose a novel topic model, denoted as Hashtag Graph-based Topic Model (HGTM) to discover topics of tweets. ...
In this paper, we introduce a new topic model to understand the chaotic microblogging environment by using hashtag graphs. ...
[22] achieved focused topics and focused terms for short texts in the way of adding a dual-sparse constraint on topic mixtures of documents and words by applying a "Spike and Slab" prior. ...
doi:10.1109/tkde.2016.2531661
fatcat:h4mtgomevbewfnr4c3kyfbblsq
IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this regard, the article, ''SSLSS: Semi-supervised learning-based steganalysis scheme for instant voice communication network,'' by Tu et al., initially introduces a novel semi-supervised hybrid learning ...
Graph-based semi-supervised learning (GSSL) has attracted great attention over the past decade. ...
Based on the long short-term memory neural network (LSTM NN), they develop a data-driven trajectory model to generate human-like driving trajectories. ...
doi:10.1109/access.2020.3035461
fatcat:rt7ejtponrfexigie4cfpt7gd4
Message from the general chair
2015
2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We propose a joint learning model which combines pairwise classification and mention clustering with Markov logic. ...
Compared with the best system from CoNLL-2011, which employs a rule-based method, our system shows competitive performance. ...
The second step involves supervised property synonym discovery using a maximum entropy based clustering algorithm. ...
doi:10.1109/ispass.2015.7095776
dblp:conf/ispass/Lee15
fatcat:ehbed6nl6barfgs6pzwcvwxria
Open challenges for data stream mining research
2014
SIGKDD Explorations
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
ABSTRACT With the inception of the Twitter microblogging platform in 2006, a myriad of research efforts have emerged studying different aspects of the Twittersphere. ...
ABSTRACT With the inception of the Twitter microblogging platform in 2006, a myriad of research efforts have emerged studying different aspects of the Twittersphere. ...
It has been studied extensively in the static setting as semi-supervised learning (SSL, see [11] ). ...
doi:10.1145/2674026.2674028
fatcat:y3bozzeohveibgxb5wmiwfcogm
A survey on next location prediction techniques, applications, and challenges
2022
EURASIP Journal on Wireless Communications and Networking
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In next location prediction, trajectory is represented by a sequence of timestamped geographical locations. ...
Using this big location-based trajectory data, researchers tend to predict human next location. ...
Although trajectory segmentation has been the object of several approaches in the last decade, a proposal based on a semi-supervised remains inexistent. ...
doi:10.1186/s13638-022-02114-6
fatcat:s2ixs3ftibaobighbik6ikgfce
HYDRA
2014
Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper proposes HYDRA, a solution framework which consists of three key steps: (I) modeling heterogeneous behavior by long-term behavior distribution analysis and multi-resolution temporal information ...
measure the high-order structure consistency on users' core social structures across different platforms; and (III) learning the mapping function by multi-objective optimization composed of both the supervised ...
The proposed long-term user topic model captures the behavior similarity from pair-wise topic correlation at a series of coarse-tofine resolutions. ...
doi:10.1145/2588555.2588559
dblp:conf/sigmod/LiuWZZK14
fatcat:osatik6fcfhbxcjugwvtvzvslq
A Review on Text-Based Emotion Detection – Techniques, Applications, Datasets, and Future Directions
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The field of text-based emotion detection (TBED) is advancing to provide automated solutions to various applications, such as businesses, and finances, to name a few. ...
TBED has gained a lot of attention in recent times. The paper presents a systematic literature review of the existing literature published between 2005 to 2021 in TBED. ...
GPT uses transformer decoders to model language using a semi-supervised learning technique. ...
arXiv:2205.03235v1
fatcat:b3m25fg6xfc3leeym22eqysq5a
Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs
2012
2012 IEEE Congress on Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution. ...
The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals. ...
Alzate and Johan Suykens, A Semi-Supervised Formulation to Binary Kernel Spectral Clustering Wednesday, IEEE CEC, Poster WeC, 15:40-17:10, Poster session IEEE CEC, Bob (R.I) McKay 4, Yasin Volkan Pehlivanoglu ...
doi:10.1109/cec.2012.6256590
dblp:conf/cec/RotaruB12
fatcat:4ly3nrktw5habc6lf5err7d5py
Image Steganography Using HBC and RDH Technique
2014
International Journal of Computer Applications Technology and Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
With these methods the performance of the stegnographic technique is improved in terms of PSNR value. ...
Reverse Data Hiding (RDH) is used to get the original image and it proceeds once when all the corners are unlocked with proper secret keys. ...
Tian et al. have presented a method based on machine learning method, and used human ideas and comments and semi-supervised algorithm to detect web spam [19] .Becchetti et al. considered link based features ...
doi:10.7753/ijcatr0303.1001
fatcat:4i6tujs4oje2tnxf5c25eh26x4
Welcome message from the General Chairs
2009
2009 International Workshop on Satellite and Space Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
This year we received a total of 153 high-quality papers from more than 20 countries. Many papers demonstrated notable systems with good analytical and/or empirical analyses. ...
Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%. ...
Semi-supervised ranking is a relatively new and important learning problem inspired by many applications. ...
doi:10.1109/iwssc.2009.5286448
fatcat:wcu4uzasizhzjmdkzyekynnqwi
« Previous
Showing results 1 — 15 out of 149 results