Results 51 to 60 of about 6,292,584 (225)

A survey of term weighting schemes for text classification

International Journal of Data Mining Modelling and Management, 2020
Text document classification approaches are designed to categorise documents into predefined classes. These approaches have two main components: document representation models and term-weighting methods.
Abdullah Alsaeedi
semanticscholar   +1 more source

The most similar predictor – on selecting measurement locations for wind resource assessment [PDF]

Wind Energy Science, 2020
We present the “most similar” method for selecting optimal measurement positions for wind resource assessment. Wind resource assessment is generally done by extrapolating a measured and long-term corrected wind climate at one location to a prediction
A. Bechmann, J. P. M. Leon, B. T. Olsen, Y. V. Hristov   +3 more
doaj   +1 more source

Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model

, 2017
The current paper proposes a novel variational Bayes predictive coding RNN model, which can learn to generate fluctuated temporal patterns from exemplars.
CM Bishop, J Tani, K Friston, S Cruys Van de, S Murata, Y Yamashita   +5 more
core   +1 more source

The scalar perturbation spectral index n_s: WMAP sensitivity to unresolved point sources [PDF]

, 2007
Precision measurement of the scalar perturbation spectral index, n_s, from the Wilkinson Microwave Anisotropy Probe temperature angular power spectrum requires the subtraction of unresolved point source power. Here we reconsider this issue.
A. J. Banday, F. K. Hansen, H. K. Eriksen, K. M. Górski, K. M. Huffenberger, Trushkin S. A.   +5 more
core   +2 more sources

Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints

Symmetry, 2020
In similarity-based constrained clustering, there have been various approaches on how to define the similarity between documents to guide the grouping of similar documents together.
Uraiwan Buatoom, W. Kongprawechnon, T. Theeramunkong   +2 more
semanticscholar   +1 more source

SEMAR: A Multi-Task Term Weighting Approach for Sentiment and Emotion-Based E-Learning Users’ Satisfaction Analysis

IEEE Access
The proliferation of Information Technology (IT) has significantly accelerated the deployment of numerous services in different fields, including education. Assessing e-learning lecturers’ and students’ satisfaction has become essential for
Sulis Sandiwarno, Dana Indra Sensuse, Harry Budi Santoso, Deden Sumirat Hidayat, Ally S. Nyamawe   +4 more
doaj   +1 more source

A new weighting scheme and discriminative approach for information retrieval in static and dynamic document collections [PDF]

, 2014
This paper introduces a new weighting scheme in information retrieval. It also proposes using the document centroid as a threshold for normalizing documents in a document collection.
Ibrahim, Osman A. S., Landa-Silva, Dario
core   +1 more source

TERM WEIGHTING BASED ON INDEX OF GENRE FOR WEB PAGE GENRE CLASSIFICATION

JUTI: Jurnal Ilmiah Teknologi Informasi, 2014
Automating the identification of the genre of web pages becomes an important area in web pages classification, as it can be used to improve the quality of the web search result and to reduce search time.
Sugiyanto Sugiyanto, Nanang Fakhrur Rozi, Tesa Eranti Putri, Agus Zainal Arifin   +3 more
doaj   +1 more source

Improved high-order high-resolution energy stable weighted essentially non-oscillatory plus scheme for shock/vortex problems

AIP Advances, 2022
In the present study, a high-order high-resolution energy stable weighted essentially non-oscillatory plus (ESWENO-P) scheme was developed by improving the weighting function in the energy stable weighted essentially non-oscillatory (ESWENO) scheme ...
S. H. Park, O. J. Kwon, S. Lee
doaj   +1 more source

Mixing and merging for spoken document retrieval [PDF]

, 1998
This paper describes a number of experiments that explo- red the issues surrounding the retrieval of spoken documents. Two such issues were examined. First, attempting to find the best use of speech recogniser output to produce the highest retrieval ...
A. Singhal, C. Gerber, D. Harman, F. Crestani   +3 more
core   +3 more sources