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CEC
2008
IEEE
13 years 10 months ago
Automated solution selection in multi-objective optimisation
This paper proposes an approach to the solution of multi-objective optimisation problems that delivers a single, preferred solution. A conventional, population-based, multiobjectiv...
Andrew Lewis, David Ireland
AAAI
2006
13 years 10 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
CP
2003
Springer
14 years 1 months ago
Automated Mechanism Design: A New Application Area for Search Algorithms
Mechanism design is the art of designing the rules of the game (aka. mechanism) so that a desirable outcome (according to a given objective) is reached despite the fact that each a...
Tuomas Sandholm
AAAI
2000
13 years 10 months ago
Statistics-Based Summarization - Step One: Sentence Compression
When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one...
Kevin Knight, Daniel Marcu
WWW
2010
ACM
14 years 3 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft