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» An algorithmic approach to knowledge evolution
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ACL
2006
15 years 7 months ago
A Discriminative Global Training Algorithm for Statistical MT
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...
Christoph Tillmann, Tong Zhang
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 6 months ago
Bayesian Optimisation Algorithm for Nurse Scheduling
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
Jingpeng Li, Uwe Aickelin
EXPERT
2007
76views more  EXPERT 2007»
15 years 6 months ago
Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
Prediction is an important component in a variety of domains. Intelligent systems that can predict future events are better enabled to make more informed, and therefore more relia...
Karthik Gopalratnam, Diane J. Cook
DATESO
2009
101views Database» more  DATESO 2009»
15 years 4 months ago
Using Top Trees For Easy Programming of Tree Algorithms
Top trees are a dynamic self-adjusting data structure that can be used by any tree algorithm. Actually, an arbitrary number of different tree algorithms can use a single structure....
Michal Vajbar
ICARCV
2008
IEEE
177views Robotics» more  ICARCV 2008»
16 years 28 days ago
Fusing laser and vision data with a genetic ICP algorithm
—Knowledge about the environment is essential for humanoid and mobile robots to move and act safely. The most intuitive way to perceive information about the environment is throu...
Quirin Mühlbauer, Kolja Kühnlenz, Martin...