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» Structural Abstraction Experiments in Reinforcement Learning
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ECIR
2010
Springer
14 years 7 months ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins
ICRA
1995
IEEE
125views Robotics» more  ICRA 1995»
15 years 28 days ago
Inductive Generation of Diagnostic Knowledge for Autonomous Assembly
A generic architecture for evolutive supervision of robotized assembly tasks is presented. This architecture , at different levels of abstraction, functions for dispatching action...
Luís Seabra Lopes, Luis M. Camarinha-Matos
FGR
2011
IEEE
354views Biometrics» more  FGR 2011»
14 years 27 days ago
Hierarchical ranking of facial attributes
Abstract— We propose a novel hierarchical structured prediction approach for ranking images of faces based on attributes. We view ranking as a bipartite graph matching problem; l...
Ankur Datta, Rogerio Feris, Daniel A. Vaquero
CAV
1998
Springer
103views Hardware» more  CAV 1998»
15 years 1 months ago
You Assume, We Guarantee: Methodology and Case Studies
Assume-guarantee reasoning has long been advertised as an important method for decomposing proof obligations in system veri cation. Re nement mappings (homomorphisms) have long bee...
Thomas A. Henzinger, Shaz Qadeer, Sriram K. Rajama...
MLMI
2007
Springer
15 years 3 months ago
Using Prosodic Features in Language Models for Meetings
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
Songfang Huang, Steve Renals