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» Argument Based Machine Learning Applied to Law
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ARGMAS
2007
Springer
15 years 7 months ago
Arguing and Explaining Classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent knowledge, based on the construction and the comparison of arguments. In this pape...
Leila Amgoud, Mathieu Serrurier
139
Voted
UIC
2007
Springer
15 years 9 months ago
Devising a Context Selection-Based Reasoning Engine for Context-Aware Ubiquitous Computing Middleware
We propose a novel reasoning engine for context-aware ubiquitous computing middleware in this paper. Our reasoning engine supports both rulebased reasoning and machine learning rea...
Donghai Guan, Weiwei Yuan, Seong Jin Cho, Andrey G...
ICIA
2007
15 years 5 months ago
Learning Interaction between Conflicting Human Agents and Their Assistants
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Boris Galitsky, Boris Kovalerchuk
ICIP
2006
IEEE
16 years 5 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
FLAIRS
2007
15 years 5 months ago
Guiding Inference with Policy Search Reinforcement Learning
Symbolic reasoning is a well understood and effective approach to handling reasoning over formally represented knowledge; however, simple symbolic inference systems necessarily sl...
Matthew E. Taylor, Cynthia Matuszek, Pace Reagan S...