• 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 61 matches

• 2019
• 
  Pablo Gamallo:
  Using the Outlier Detection Task to Evaluate Distributional Semantic Models. Mach. Learn. Knowl. Extr. 1(1): 211-223 (2019)
• 
  Zohreh Akbari, Rainer Unland:
  A Novel Heterogeneous Swarm Reinforcement Learning Method for Sequential Decision Making Problems. Mach. Learn. Knowl. Extr. 1(2): 590-610 (2019)
• 
  Nicholas Ampazis, Theodoros Emmanouilidis, Flora Sakketou:
  A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization. Mach. Learn. Knowl. Extr. 1(3): 928-944 (2019)
• 
  Ognjen Arandjelovic:
  Targeted Adaptable Sample for Accurate and Efficient Quantile Estimation in Non-Stationary Data Streams. Mach. Learn. Knowl. Extr. 1(3): 848-870 (2019)
• 
  Vinícius Jonathan Silva Araújo, Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Thiago Silva Rezende, Vanessa Souza Araújo:
  Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer. Mach. Learn. Knowl. Extr. 1(1): 466-482 (2019)
• 
  Giuliano Armano, Alessandro Giuliani, Ursula Neumann, Nikolas Rothe, Dominik Heider:
  Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance. Mach. Learn. Knowl. Extr. 1(1): 121-137 (2019)
• 
  Yousef Azabi, Al Savvaris, Timoleon Kipouros:
  Artificial Intelligence to Enhance Aerodynamic Shape Optimisation of the Aegis UAV. Mach. Learn. Knowl. Extr. 1(2): 552-574 (2019)
• 
  Daulet Baimukashev, Alikhan Zhilisbayev, Askat Kuzdeuov, Artemiy Oleinikov, Denis Fadeyev, Zhanat Makhataeva, Huseyin Atakan Varol:
  Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes. Mach. Learn. Knowl. Extr. 1(3): 883-903 (2019)
• 
  Stephen W. Carden, S. Dalton Walker:
  Exploration Using Without-Replacement Sampling of Actions Is Sometimes Inferior. Mach. Learn. Knowl. Extr. 1(2): 698-714 (2019)
• 
  Adrien Chan-Hon-Tong:
  An Algorithm for Generating Invisible Data Poisoning Using Adversarial Noise That Breaks Image Classification Deep Learning. Mach. Learn. Knowl. Extr. 1(1): 192-204 (2019)
• 
  Guoqing Chao, Yuan Luo, Weiping Ding:
  Recent Advances in Supervised Dimension Reduction: A Survey. Mach. Learn. Knowl. Extr. 1(1): 341-358 (2019)
• 
  Oliver Chikumbo, Vincent Granville:
  Optimal Clustering and Cluster Identity in Understanding High-Dimensional Data Spaces with Tightly Distributed Points. Mach. Learn. Knowl. Extr. 1(2): 715-744 (2019)
• 
  Parashar Dhakal, Praveen Damacharla, Ahmad Y. Javaid, Vijay Kumar Devabhaktuni:
  A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface. Mach. Learn. Knowl. Extr. 1(1): 504-520 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations? Mach. Learn. Knowl. Extr. 1(1): 138-148 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition. Mach. Learn. Knowl. Extr. 1(1): 149-156 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  Defining Data Science by a Data-Driven Quantification of the Community. Mach. Learn. Knowl. Extr. 1(1): 235-251 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection. Mach. Learn. Knowl. Extr. 1(1): 359-383 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error. Mach. Learn. Knowl. Extr. 1(1): 521-551 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice. Mach. Learn. Knowl. Extr. 1(2): 653-683 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference. Mach. Learn. Knowl. Extr. 1(3): 945-961 (2019)
• 
  Frank Emmert-Streib, Matthias Dehmer:
  Introduction to Survival Analysis in Practice. Mach. Learn. Knowl. Extr. 1(3): 1013-1038 (2019)
• 
  Patrícia Espinheira, Luana da Silva, Alisson Silva, Raydonal Ospina:
  Model Selection Criteria on Beta Regression for Machine Learning. Mach. Learn. Knowl. Extr. 1(1): 427-449 (2019)
• 
  Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas:
  Learning to Teach Reinforcement Learning Agents. Mach. Learn. Knowl. Extr. 1(1): 21-42 (2019)
• 
  Massimo Ferri:
  Why Topology for Machine Learning and Knowledge Extraction? Mach. Learn. Knowl. Extr. 1(1): 115-120 (2019)
• 
  Devin Joseph Frey, Avdesh Mishra, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Thomas Soniat:
  A Machine Learning Approach to Determine Oyster Vessel Behavior. Mach. Learn. Knowl. Extr. 1(1): 64-74 (2019)
• 
  Donia Gamal, Marco Alfonse, El-Sayed M. El-Horbaty, Abdel-Badeeh M. Salem:
  Analysis of Machine Learning Algorithms for Opinion Mining in Different Domains. Mach. Learn. Knowl. Extr. 1(1): 224-234 (2019)
• 
  Dragan Gamberger, Tjasa Stare, Dragana Miljkovic, Kristina Gruden, Nada Lavrac:
  Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data. Mach. Learn. Knowl. Extr. 1(1): 400-413 (2019)
• 
  Luyun Gan, Brosnan Yuen, Tao Lu:
  Multi-Label Classification with Optimal Thresholding for Multi-Composition Spectroscopic Analysis. Mach. Learn. Knowl. Extr. 1(4): 1084-1099 (2019)
• 
  Anna Guitart, Pei Pei Chen, África Periáñez:
  The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition. Mach. Learn. Knowl. Extr. 1(1): 252-264 (2019)
• 
  Andreas Holzinger:
  Introduction to MAchine Learning & Knowledge Extraction (MAKE). Mach. Learn. Knowl. Extr. 1(1): 1-20 (2019)

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