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ACL
2009
14 years 7 months ago
2009
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
SIGIR
2010
ACM
15 years 1 months ago
2010
ACM
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
CAISE
2003
Springer
15 years 3 months ago
2003
Springer
A huge amount of effort is consumed in modelling business processes, and then in developing and maintaining tools, documentation, and training courses to support the modelled proce...
ECIR
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...