Results 41 to 50 of about 19,127,835 (304)
Improved Constrained k-Means Algorithm for Clustering with Domain Knowledge
Witnessing the tremendous development of machine learning technology, emerging machine learning applications impose challenges of using domain knowledge to improve the accuracy of clustering provided that clustering suffers a compromising accuracy rate ...
Peihuang Huang +4 more
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The Dark Side of Information Proliferation [PDF]
There are well-understood psychological limits on our capacity to process information. As information proliferation—the consumption and sharing of information—increases through social media and other communications technology, these limits create an attentional bottleneck, favoring information that is more likely to be searched for, attended to ...
openaire +2 more sources
On Pairwise Clustering with Side Information
Pairwise clustering, in general, partitions a set of items via a known similarity function. In our treatment, clustering is modeled as a transductive prediction problem. Thus rather than beginning with a known similarity function, the function instead is hidden and the learner only receives a random sample consisting of a subset of the pairwise ...
Stephen Pasteris +3 more
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On Text Clustering with Side Information [PDF]
Text clustering has become an increasingly important problem in recent years because of the tremendous amount of unstructured data which is available in various forms in online forums such as the web, social networks, and other information networks. In most cases, the data is not purely available in text form.
Charu C. Aggarwal +2 more
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Joint Source-Channel Polarization With Side Information
As an extension of source polarization and channel polarization, this paper considers joint source-channel polarization, which results in a joint source-channel coding (JSCC) scheme using a quasiuniform systematic polar code (SPC).
Liqiang Jin, Hongwen Yang
doaj +1 more source
Source coding with conditionally less noisy side information [PDF]
We consider a lossless multi-terminal source coding problem with one transmitter, two receivers and side information. The achievable rate region of the problem is not well understood.
Tobias J. Oechtering +8 more
core +1 more source
Visual saliency with side information [PDF]
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated side-information, such as time, location, authorship, and so on. Earlier research have used side-information as pre-filter before visual analysis is performed, and we design a machine learning algorithm to model the join statistics
Wei Jiang 0001 +2 more
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Crisis Response Information Networks [PDF]
Journal of the Association of Information Systems13131 ...
Leidner, Dorothy E. +10 more
core +1 more source
Bridging the Vocabulary Gap: Using Side Information for Deep Knowledge Tracing
Knowledge tracing is a crucial task in personalized learning that models student mastery based on historical data to predict future performance. Currently, deep learning models in knowledge tracing predominantly use one-hot encodings of question ...
Haoxin Xu +5 more
doaj +1 more source
Discriminatory Lossy Source Coding: Side Information Privacy
A lossy source coding problem is studied in which a source encoder communicates with two decoders, one with and one without correlated side information with an additional constraint on the privacy of the side information at the uninformed decoder.
Tandon, Ravi +2 more
core +1 more source

