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FUZZIEEE
2007
IEEE
16 years 1 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
IROS
2007
IEEE
90views Robotics» more  IROS 2007»
16 years 1 months ago
Improved likelihood models for probabilistic localization based on range scans
— Range sensors are popular for localization since they directly measure the geometry of the local environment. Another distinct benefit is their typically high accuracy and spa...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...
ICRA
2006
IEEE
160views Robotics» more  ICRA 2006»
16 years 23 days ago
Modulation of Simple Sinusoidal Patterns by a Coupled Oscillator Model for Biped Walking
— We show that a humanoid robot can step and walk using simple sinusoidal desired joint trajectories with their phase adjusted by a coupled oscillator model. We use the center of...
Jun Morimoto, Gen Endo, Jun Nakanishi, Sang-Ho Hyo...
AH
2006
Springer
16 years 21 days ago
Cross-Technique Mediation of User Models
Nowadays, the information overload highlights the importance of personalization systems providing services according to users' interests and needs, as expressed by their User ...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
ECML
2005
Springer
16 years 7 days ago
Model Selection in Omnivariate Decision Trees
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
Olcay Taner Yildiz, Ethem Alpaydin