• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 56 matches

• 2020
• 
  Karine Chubarian, György Turán:
  Interpretability of Bayesian Network Classifiers: OBDD Approximation and Polynomial Threshold Functions. ISAIM 2020
• 
  João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
  Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay. NeurIPS 2020
• 
  João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
  Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay. CoRR abs/2008.05803 (2020)
• 2019
• 
  Shaocong Xue, Wei Huang, Chuanyin Yang, Jinsong Wang:
  Design of Polynomial Fuzzy Neural Network Classifiers Based on Density Fuzzy C-Means and L2-Norm Regularization. ICPCSEE (1) 2019: 585-596
• 2018
• 
  Luis Carlos Padierna, Martín Carpio, Alfonso Rojas Domínguez, Héctor Puga, Héctor J. Fraire H.:
  A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family. Pattern Recognit. 84: 211-225 (2018)
• 
  Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong:
  Parallelized Tensor Train Learning of Polynomial Classifiers. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4621-4632 (2018)
• 2017
• 
  Rodrigo G. Martins, Alessandro Santana Martins, Leandro Alves Neves, Luciano Vieira Lima, Edna Lúcia Flôres, Marcelo Zanchetta do Nascimento:
  Exploring polynomial classifier to predict match results in football championships. Expert Syst. Appl. 83: 79-93 (2017)
• 
  Samir Kumar Mishra, Puneet Pandey, Prince Arya:
  Efficient spectrum harvesting using adaptive co-channel interference suppression based on polynomial classifier. COMSNETS 2017: 375-376
• 2016
• 
  Mayy M. Al-Tahrawi:
  Polynomial Neural Networks versus Other Arabic Text Classifiers. J. Softw. 11(4): 418-430 (2016)
• 
  Ameen Abdelmutalab, Khaled Assaleh, Mohamed G. El-Tarhuni:
  Automatic modulation classification based on high order cumulants and hierarchical polynomial classifiers. Phys. Commun. 21: 10-18 (2016)
• 
  Vahid Hooshmand Moghaddam, Javad Hamidzadeh:
  New Hermite orthogonal polynomial kernel and combined kernels in Support Vector Machine classifier. Pattern Recognit. 60: 921-935 (2016)
• 
  Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
  Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization. SCIS&ISIS 2016: 769-773
• 
  Ameen Abdelmutalab, Khaled Assaleh, Mohamed G. El-Tarhuni:
  Automatic modulation classification using hierarchical polynomial classifier and stepwise regression. WCNC 2016: 1-5
• 
  Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong:
  Parallelized Tensor Train Learning of Polynomial Classifiers. CoRR abs/1612.06505 (2016)
• 2015
• 
  Lei Sun, Kar-Ann Toh, Zhiping Lin:
  A center sliding Bayesian binary classifier adopting orthogonal polynomials. Pattern Recognit. 48(6): 2013-2028 (2015)
• 
  Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye:
  An Efficient Semi-Supervised Classifier Based on Block-Polynomial Mapping. IEEE Signal Process. Lett. 22(10): 1776-1780 (2015)
• 
  Chin-Teng Lin, Mukesh Prasad, Amit Saxena:
  An Improved Polynomial Neural Network Classifier Using Real-Coded Genetic Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 45(11): 1389-1401 (2015)
• 
  Peter McLeod, Brijesh K. Verma:
  Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis. ICNC 2015: 775-780
• 
  Julián Luengo, Rafael Rumí:
  Naive Bayes Classifier with Mixtures of Polynomials. ICPRAM (1) 2015: 14-24
• 2014
• 
  Ameen Abdelmutalab, Khaled Assaleh, Mohamed G. El-Tarhuni:
  Automatic modulation classification using polynomial classifiers. PIMRC 2014: 806-810
• 
  Tae-Chon Ahn, Seok-Beom Roh, Zi Long Yin, Yong-Soo Kim:
  Design of Radial Basis Function Classifier Based on Polynomial Neural Networks. Soft Computing in Artificial Intelligence 2014: 107-115
• 
  Ryan Babbush, Vasil S. Denchev, Nan Ding, Sergei Isakov, Hartmut Neven:
  Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing. CoRR abs/1406.4203 (2014)
• 2013
• 
  Marcelo Zanchetta do Nascimento, Alessandro Santana Martins, Leandro Alves Neves, Rodrigo Pereira Ramos, Edna Lúcia Flôres, Gilberto Arantes Carrijo:
  Classification of masses in mammographic image using wavelet domain features and polynomial classifier. Expert Syst. Appl. 40(15): 6213-6221 (2013)
• 
  Bogdan Gherman, Konstantinos Sirlantzis:
  Polynomial Order Prediction Using a Classifier Trained on Meta-Measurements. EST 2013: 117-120
• 2012
• 
  Feilong Cao, Dan Wu, Joonwhoan Lee:
  Learning Rates for Regularized Classifiers Using Trigonometric Polynomial Kernels. Neural Process. Lett. 35(3): 265-281 (2012)
• 
  Emanuele Maiorana, Patrizio Campisi, Daria La Rocca, Gaetano Scarano:
  Use of polynomial classifiers for on-line signature recognition. BTAS 2012: 265-270
• 
  Gaetano Scarano, Laura Forastiere, Stefania Colonnese, Stefano Rinauro:
  Reduced polynomial classifier using within-class standardizing transform. ISCCSP 2012: 1-4
• 2011
• 
  Khaled Assaleh, Hazim El-Baz, Saeed Al-Salkhadi:
  Predicting Stock Prices Using Polynomial Classifiers: The Case of Dubai Financial Market. J. Intell. Learn. Syst. Appl. 3(2A): 82-89 (2011)
• 
  Nirmalya Sen, T. K. Basu:
  A Critical Comparison between GMM Classifier and Polynomial Classifier for Text-Independent Speaker Identification. ICFCE 2011: 545-550
• 
  Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim:
  Fuzzy Clustering-Based Polynomial Radial Basis Function Neural Networks (p-RBF NNs) Classifier Designed with Particle Swarm Optimization. ISNN (1) 2011: 464-473

skipping 26 more matches