Results 311 to 320 of about 2,400,349 (361)

Ranking Rank Behaviors

Business & Society, 1999
Using ethical theory often applied by business ethicists, this article develops a threshold definition of honesty that incorporates specific situational factors (act, actor, person affected, intention, and result) in the definition: Dishonesty occurs when a responsible actor voluntarily and intentionally violates some convention of the transfer of ...
Elizabeth D. Scott, Karen A. Jehn
openaire   +1 more source

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

Interspeech, 2018
Time Delay Neural Networks (TDNNs), also known as one-dimensional Convolutional Neural Networks (1-d CNNs), are an efficient and well-performing neural network architecture for speech recognition.
Daniel Povey, Gaofeng Cheng, Yiming Wang, Ke Li, Hainan Xu, M. Yarmohammadi, S. Khudanpur   +6 more
semanticscholar   +1 more source

When does rank( ABC ) = rank( AB ) + rank( BC ) - rank( B ) hold?

International Journal of Mathematical Education in Science and Technology, 2002
The well-known Frobenius rank inequality established by Frobenius in 1911 states that the rank of the product ABC of three matrices satisfies the inequality rank(ABC) U rank(AB) + rank(BC)- rank(B) A new necessary and sufficient condition for equality to hold is presented and then some interesting consequences and applications are discussed.
Yongge Tian, George P. H. Styan
openaire   +1 more source

Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution

IEEE Transactions on Neural Networks and Learning Systems, 2019
Hyperspectral images (HSIs) with high spectral resolution only have the low spatial resolution. On the contrary, multispectral images (MSIs) with much lower spectral resolution can be obtained with higher spatial resolution.
Renwei Dian, Shutao Li, Leyuan Fang
semanticscholar   +1 more source

Ranking ranks: a ranking algorithm for bootstrapping from the empirical copula

Computational Statistics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Blumentritt, Thomas, Grothe, Oliver
openaire   +2 more sources

Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists

Pattern Recognition, 2011
In Content-based Image Retrieval (CBIR) systems, ranking accurately collection images is of great relevance. Users are interested in the returned images placed at the first positions, which usually are the most relevant ones. Collection images are ranked in increasing order of their distance to the query pattern (e.g., query image) defined by users ...
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres   +1 more
openaire   +1 more source

Learning to Rank with Ensemble Ranking SVM

Neural Processing Letters, 2014
In this paper, we propose a novel learning to rank method using Ensemble Ranking SVM. Ensemble Ranking SVM is based on Ranking SVM which has been commonly used for learning to rank. The basic idea of Ranking SVM is to formulate the problem of learning to rank as that of binary classification on instance pairs.
Cheolkon Jung, Yanbo Shen, Licheng Jiao
openaire   +1 more source

Ensemble Ranking SVM for learning to rank

2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
This paper deals with the problem of learning to rank documents for information retrieval. Until now, Ranking SVM has been successfully used for learning to rank documents. The basic idea of Ranking SVM is to formalize learning to rank as a problem of binary classification on instance pairs and solve the problem using SVM.
Cheolkon Jung, Licheng Jiao, Yanbo Shen
openaire   +1 more source

Collaborative Ranking with Ranking-Based Neighborhood

2013
Recommendation system is a very important tool to help users to find what they are interested in on the web. In many commercial recommendation systems, only the top-K items are shown to users, and recommendation becomes a ranking task rather than a classical rating prediction task.
Chaosheng Fan, Zuoquan Lin
openaire   +1 more source

Operating characteristics of a rank correlation test for publication bias.

Biometrics, 1994
C. Begg, M. Mazumdar
semanticscholar   +1 more source