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NIPS
2003
14 years 11 months ago
A Classification-based Cocktail-party Processor
At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
ESANN
2004
14 years 11 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
ASSETS
2010
ACM
14 years 10 months ago
Leveraging proprioception to make mobile phones more accessible to users with visual impairments
Accessing the advanced functions of a mobile phone is not a trivial task for users with visual impairments. They rely on screen readers and voice commands to discover and execute ...
Frank Chun Yat Li, David Dearman, Khai N. Truong
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales