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» Learning and adaptivity in interactive recommender systems
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ICPR
2004
IEEE
14 years 8 months ago
Online Learning of Color Transformation for Interactive Object Recognition under Various Lighting Conditions
This paper describes an online learning method of color transformation for interactive object recognition. In order to recognize objects under various lighting conditions, the sys...
Nobutaka Shimada, Yasushi Makihara, Yoshiaki Shira...
CSMR
2003
IEEE
14 years 24 days ago
CodeCrawler - Lessons Learned in Building a Software Visualization Tool
Software visualization tools face many challenges in terms of their implementation, including scalability, usability, adaptability, and durability. Such tools, like many other res...
Michele Lanza
ACL
2010
13 years 5 months ago
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Srinivasan Janarthanam, Oliver Lemon
ACHI
2008
IEEE
14 years 2 months ago
UPOS: User Profile Ontology with Situation-Dependent Preferences Support
—Context-aware adaptive systems aim at automatically personalizing the user’s environment depending on the user’s situation, and hence, minimizing user interaction with the s...
Michael Sutterer, Olaf Droegehorn, Klaus David
BMCBI
2008
149views more  BMCBI 2008»
13 years 7 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...