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» Learning to Improve both Efficiency and Quality of Planning
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ICML
2009
IEEE
14 years 9 months ago
Constraint relaxation in approximate linear programs
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
Marek Petrik, Shlomo Zilberstein
MT
2007
100views more  MT 2007»
13 years 8 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
ICCBR
2001
Springer
14 years 1 months ago
Case-Based Reasoning in the Care of Alzheimer's Disease Patients
Abstract. Planning the ongoing care of Alzheimer's Disease (AD) patients is a complex task, marked by cases that change over time, multiple perspectives, and ethical issues. G...
Cynthia R. Marling, Peter Whitehouse
CODES
2010
IEEE
13 years 6 months ago
Improving platform-based system synthesis by satisfiability modulo theories solving
Due to the ever increasing system complexity, deciding whether a given platform is sufficient to implement a set of applications under given constraints becomes a serious bottlene...
Felix Reimann, Michael Glaß, Christian Haube...
CN
2010
130views more  CN 2010»
13 years 6 months ago
CoreCast: How core/edge separation can help improving inter-domain live streaming
The rapid growth of broadband access has popularized multimedia services, which nowadays contribute to a large part of Internet traffic. Among this content, the broadcasting of li...
Loránd Jakab, Albert Cabellos-Aparicio, Tho...