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» Building Explainable Artificial Intelligence Systems
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FLAIRS
2008
15 years 1 days ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
APN
2005
Springer
15 years 3 months ago
The ProM Framework: A New Era in Process Mining Tool Support
Under the umbrella of buzzwords such as “Business Activity Monitoring” (BAM) and “Business Process Intelligence” (BPI) both academic (e.g., EMiT, Little Thumb, InWoLvE, Pro...
Boudewijn F. van Dongen, Ana Karla A. de Medeiros,...
EPIA
2007
Springer
15 years 3 months ago
Prospective Logic Agents
As we face the real possibility of modelling agent systems capable of non-deterministic self-evolution, we are confronted with the problem of having several different possible futu...
Luís Moniz Pereira, Gonçalo Lopes
EWCBR
2004
Springer
15 years 3 months ago
Learning Feature Taxonomies for Case Indexing
Taxonomic case retrieval systems significantly outperform standard conversational case retrieval systems. However, their feature taxonomies, which are the principal reason for thei...
Kalyan Moy Gupta, David W. Aha, Philip G. Moore
CIKM
2010
Springer
14 years 8 months ago
Clickthrough-based translation models for web search: from word models to phrase models
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
Jianfeng Gao, Xiaodong He, Jian-Yun Nie