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GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
14 years 11 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
ECSA
2010
Springer
14 years 10 months ago
Software ecosystems vs. natural ecosystems: learning from the ingenious mind of nature
The use of the term ecosystem in the context of extensible software platforms and third-party developers or user communities has made us ponder about the similarities between soft...
Deepak Dhungana, Iris Groher, Elisabeth Schluderma...
77
Voted
CCR
2010
156views more  CCR 2010»
14 years 10 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
87
Voted
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
14 years 8 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
WWW
2011
ACM
14 years 5 months ago
Learning facial attributes by crowdsourcing in social media
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (...
Yan-Ying Chen, Winston H. Hsu, Hong-Yuan Mark Liao