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MATES
2010
Springer
13 years 6 months ago
Do You Get It? User-Evaluated Explainable BDI Agents
Abstract. In this paper we focus on explaining to humans the behavior of autonomous agents, i.e., explainable agents. Explainable agents are useful for many reasons including scena...
Joost Broekens, Maaike Harbers, Koen V. Hindriks, ...
IIR
2010
13 years 9 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
CIKM
2005
Springer
14 years 1 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan
DPD
2006
123views more  DPD 2006»
13 years 7 months ago
Reducing network traffic in unstructured P2P systems using Top-k queries
A major problem of unstructured P2P systems is their heavy network traffic. This is caused mainly by high numbers of query answers, many of which are irrelevant for users. One solu...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
IEAAIE
2005
Springer
14 years 1 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...