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» Learning Models for Predicting Recognition Performance
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IWANN
2005
Springer
15 years 5 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
ICRA
2002
IEEE
104views Robotics» more  ICRA 2002»
15 years 4 months ago
A Visual Landmark Framework for Indoor Mobile Robot Navigation
This article presents vision functions needed on a mobile robot to deal with landmark-based navigation in buildings. Landmarks are planar, quadrangular surfaces, which must be dis...
Jean-Bernard Hayet, Frédéric Lerasle...
RECSYS
2009
ACM
15 years 6 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
Benjamin M. Marlin, Richard S. Zemel
SAC
2010
ACM
15 years 6 months ago
Referrer graph: a low-cost web prediction algorithm
This paper presents the Referrer Graph (RG) web prediction algorithm as a low-cost solution to predict next web user accesses. RG is aimed at being used in a real web system with ...
B. de la Ossa, Ana Pont, Julio Sahuquillo, Jos&eac...
PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
14 years 10 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu