Papers
Non-stationary dynamic Bayesian networks
Joshua W. Robinson, Alexander J. Hartemink
Normalizing SMS: are Two Metaphors Better than One ?
Catherine Kobus, François Yvon, Géraldine Damnati
Novel Semantic Features for Verb Sense Disambiguation
Dmitriy Dligach, Martha Palmer
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves, Jürgen Schmidhuber
On Bootstrapping the ROC Curve
Patrice Bertail, Stéphan J. Clémençcon, Nicolas Vayatis
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein
One-Class Clustering in the Text Domain
Ron Bekkerman, Koby Crammer
One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li, Kenneth W. Church, Trevor J. Hastie
Online Acquisition of Japanese Unknown Morphemes using Morphological Constraints
Yugo Murawaki, Sadao Kurohashi
Online Large-Margin Training of Syntactic and Structural Translation Features
David Chiang, Yuval Marton, Philip Resnik
Online Learning of Complex Prediction Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
Online Methods for Multi-Domain Learning and Adaptation
Mark Dredze, Koby Crammer
Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon et al.
Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango et al.
Online-Monitoring of Security-Related Events
Martin Atkinson, Jakub Piskorski, Bruno Pouliquen et al.
Online Optimization in X-Armed Bandits
Sébastien Bubeck, Gilles Stoltz, Csaba Szepesvári et al.
Online Prediction on Large Diameter Graphs
Mark Herbster, Guy Lever, Massimiliano Pontil
Online Word Games for Semantic Data Collection
David Vickrey, Aaron Bronzan, William Choi et al.
On “Redundancy” in Selecting Attributes for Generating Referring Expressions
Philipp Spanger, Takehiro Kurosawa, Takenobu Tokunaga
On Relevant Dimensions in Kernel Feature Spaces
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
On Robustness and Domain Adaptation using SVD for Word Sense Disambiguation
Eneko Agirre, Oier Lopez de Lacalle
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite et al.
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Hamed Masnadi-shirazi, Nuno Vasconcelos
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock, Frank Nielsen