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» Using Machine Learning to Focus Iterative Optimization
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ICMLC
2010
Springer
14 years 10 months ago
Approaches to improving corpus quality for statistical machine translation
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
Peng Liu, Yu Zhou, Chengqing Zong
ICML
2009
IEEE
16 years 16 days ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
ECTEL
2008
Springer
15 years 1 months ago
Issues in the Design of an Environment to Support the Learning of Mathematical Generalisation
Abstract. Expressing generality, recognising and analysing patterns and articulating structure is a complex task and one that is invariably problematic for students. Nonetheless, v...
Darren Pearce, Manolis Mavrikis, Eirini Geraniou, ...
ICPR
2008
IEEE
16 years 28 days ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
ICRA
2010
IEEE
149views Robotics» more  ICRA 2010»
14 years 10 months ago
A simple learning strategy for high-speed quadrocopter multi-flips
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
Sergei Lupashin, Angela Schöllig, Michael She...