• 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 14 matches

• 2014
• 
  Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban:
  Learning a priori constrained weighted majority votes. Mach. Learn. 97(1-2): 129-154 (2014)
• 
  Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier:
  Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Mach. Learn. 97(3): 327-351 (2014)
• 
  Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
  Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. Mach. Learn. 97(1-2): 1-3 (2014)
• 
  Nicolas Courty, Xing Gong, Jimmy Vandel, Thomas Burger:
  SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding. Mach. Learn. 97(1-2): 205-226 (2014)
• 
  Gary Doran, Soumya Ray:
  A theoretical and empirical analysis of support vector machine methods for multiple-instance classification. Mach. Learn. 97(1-2): 79-102 (2014)
• 
  Darren Homrighausen, Daniel J. McDonald:
  Leave-one-out cross-validation is risk consistent for lasso. Mach. Learn. 97(1-2): 65-78 (2014)
• 
  Ulf Johansson, Henrik Boström, Tuve Löfström, Henrik Linusson:
  Regression conformal prediction with random forests. Mach. Learn. 97(1-2): 155-176 (2014)
• 
  Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh:
  A constrained matrix-variate Gaussian process for transposable data. Mach. Learn. 97(1-2): 103-127 (2014)
• 
  Thomas Andrew Lampert, Pierre Gançarski:
  The bane of skew - Uncertain ranks and unrepresentative precision. Mach. Learn. 97(1-2): 5-32 (2014)
• 
  Russel Pears, Sripirakas Sakthithasan, Yun Sing Koh:
  Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling. Mach. Learn. 97(3): 259-293 (2014)
• 
  Peng Sun, Mark D. Reid, Jie Zhou:
  An improved multiclass LogitBoost using adaptive-one-vs-one. Mach. Learn. 97(3): 295-326 (2014)
• 
  Theja Tulabandhula, Cynthia Rudin:
  On combining machine learning with decision making. Mach. Learn. 97(1-2): 33-64 (2014)
• 
  Zhihua Zhang:
  The matrix ridge approximation: algorithms and applications. Mach. Learn. 97(3): 227-258 (2014)
• 
  Kai Zhu, Rui Wu, Lei Ying, R. Srikant:
  Collaborative filtering with information-rich and information-sparse entities. Mach. Learn. 97(1-2): 177-203 (2014)