Lecture Notes in Computer Science - Algorithmic Learning Theory
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Published By Springer International Publishing

9783319116617, 9783319116624
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Learning Regular Omega Languages

2014 ◽  
pp. 125-139 ◽  
Author(s):  
Dana Angluin ◽  
Dana Fisman

scholarly journals Learning Boolean Halfspaces with Small Weights from Membership Queries

2014 ◽  
pp. 96-110 ◽  
Author(s):  
Hasan Abasi ◽  
Ali Z. Abdi ◽  
Nader H. Bshouty
Keyword(s):  
Membership Queries

scholarly journals Indefinitely Oscillating Martingales

2014 ◽  
pp. 321-335 ◽  
Author(s):  
Jan Leike ◽  
Marcus Hutter

On the Role of Update Constraints and Text-Types in Iterative Learning

2014 ◽  
pp. 55-69 ◽  
Author(s):  
Sanjay Jain ◽  
Timo Kötzing ◽  
Junqi Ma ◽  
Frank Stephan
Keyword(s):  
Iterative Learning ◽  
Text Types

scholarly journals Algorithmic Identification of Probabilities Is Hard

2014 ◽  
pp. 85-95
Author(s):  
Laurent Bienvenu ◽  
Benoît Monin ◽  
Alexander Shen

scholarly journals Bandit Online Optimization over the Permutahedron

2014 ◽  
pp. 215-229 ◽  
Author(s):  
Nir Ailon ◽  
Kohei Hatano ◽  
Eiji Takimoto
Keyword(s):  
Online Optimization

A Survey of Preference-Based Online Learning with Bandit Algorithms

2014 ◽  
pp. 18-39 ◽  
Author(s):  
Róbert Busa-Fekete ◽  
Eyke Hüllermeier
Keyword(s):  
Online Learning

scholarly journals Extreme State Aggregation beyond MDPs

2014 ◽  
pp. 185-199 ◽  
Author(s):  
Marcus Hutter
Keyword(s):  
State Aggregation ◽  
Extreme State

On Learning the Optimal Waiting Time

2014 ◽  
pp. 200-214 ◽  
Author(s):  
Tor Lattimore ◽  
András György ◽  
Csaba Szepesvári
Keyword(s):  
Waiting Time
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