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CSL
2012
Springer
12 years 6 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
PDP
2003
IEEE
14 years 4 months ago
Automatic Optimisation of Parallel Linear Algebra Routines in Systems with Variable Load
Abstract. In this work an architecture of an automatically tuned linear algebra library proposed in previous works is extended in order to adapt it to platforms where both the CPU ...
Javier Cuenca, Domingo Giménez, José...
ICCD
2003
IEEE
105views Hardware» more  ICCD 2003»
14 years 8 months ago
Power Fluctuation Minimization During Behavioral Synthesis using ILP-Based Datapath Scheduling
— We model the power fluctuation as cycle-to-cycle power gradient and minimize the mean of the power gradients using ILP. We propose scheduling schemes for three modes of datapa...
Saraju P. Mohanty, N. Ranganathan, Sunil K. Chappi...
ECBS
2009
IEEE
120views Hardware» more  ECBS 2009»
14 years 5 months ago
Tuning Complex Sensornet Systems Using Principled Engineering Methods
Sensornet lifespan and utility is limited by the energy resources of individual motes. Network designers seek to maximise energy efficiency while maintaining acceptable Quality o...
Jonathan Tate, Iain Bate
EUMAS
2006
14 years 13 days ago
E*plore-ing the Simulation Design Space
One of the major puzzles in performing multi-agent-based simulations is the validity of their results. Optimisation of simulation parameters can lead to results that can be deceit...
Luis Antunes, Helder Coelho, João Balsa