Results 41 to 50 of about 13,248,588 (381)

The normalized freebase distance [PDF]

, 2014
In this paper, we propose the Normalized Freebase Distance (NFD), a new measure for determing semantic concept relatedness that is based on similar principles as the Normalized Web Distance (NWD).
Beecks, Christian, De Neve, Wesley, De Nies, Tom, De Vocht, Laurens, Godin, Fréderic, Mannens, Erik, Seidl, Thomas, Van de Walle, Rik   +7 more
core   +2 more sources

Consistent Estimation of Partition Markov Models

Entropy, 2017
The Partition Markov Model characterizes the process by a partition L of the state space, where the elements in each part of L share the same transition probability to an arbitrary element in the alphabet.
Jesús E. García, Verónica A. González-López   +1 more
doaj   +1 more source

Discriminative Distance-Based Network Indices with Application to Link Prediction [PDF]

, 2018
In large networks, using the length of shortest paths as the distance measure has shortcomings. A well-studied shortcoming is that extending it to disconnected graphs and directed graphs is controversial.
Abdessalem, Talel, Bifet, Albert, Chehreghani, Mostafa Haghir   +2 more
core   +2 more sources

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

Fuzzy Clustering with Uninorm-Based Distance Measure

Mathematics
In this paper, we suggest an algorithm of fuzzy clustering with a uninorm-based distance measure. The algorithm follows a general scheme of fuzzy c-means (FCM) clustering, but in contrast to the existing algorithm, it implements logical distance between ...
Evgeny Kagan, Alexander Novoselsky, Alexander Rybalov   +2 more
doaj   +1 more source

Continuity bounds on the quantum relative entropy

, 2005
The quantum relative entropy is frequently used as a distance, or distinguishability measure between two quantum states. In this paper we study the relation between this measure and a number of other measures used for that purpose, including the trace ...
Bratteli O., Csiszar I., Jens Eisert, Koenraad M. R. Audenaert, Vedral V.   +4 more
core   +1 more source

Distance measure for Fermatean fuzzy linguistic term sets based on linguistic scale function: An illustration of the TODIM and TOPSIS methods

International Journal of Intelligent Systems, 2019
In this paper, we propose the Fermatean fuzzy linguistic term set (FFLTS) based on the linguistic scale function. A new similarity measure between FFLTSs is constructed, which not only includes the linguistic scale function but also combines the cosine ...
Donghai Liu, Yuanyuan Liu, Lizhen Wang
semanticscholar   +1 more source

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim, Natalie Bradford, David Brain, Sameera Senanayake, Sanjeewa Kularatna, Kate Young, Christine Cashion, Tim Hassall, Susanna Cramb   +8 more
wiley   +1 more source

Clustering Methods Using Distance-Based Similarity Measures of Single-Valued Neutrosophic Sets

Journal of Intelligent Systems, 2014
Clustering plays an important role in data mining, pattern recognition, and machine learning. Single-valued neutrosophic sets (SVNSs) are useful means to describe and handle indeterminate and inconsistent information that fuzzy sets and intuitionistic ...
Ye Jun
doaj   +1 more source

The Extension of TOPSIS Method for Multi-Attribute Decision-Making With q-Rung Orthopair Hesitant Fuzzy Sets

IEEE Access, 2020
As a combination of q-rung orthopair fuzzy sets (q-ROFSs) and hesitant fuzzy sets (HFSs), q-rung orthopair hesitant fuzzy sets (q-ROHFSs) are more effective, powerful, and meaningful in solving the complexity, ambiguity, and expert hesitancy of ...
Yuhui Wang, Zhifeng Shan, Lin Huang
doaj   +1 more source