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» Approximate algorithms for neural-Bayesian approaches
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KDD
2009
ACM
298views Data Mining» more  KDD 2009»
16 years 24 days ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz
COCOA
2009
Springer
16 years 18 days ago
Matching Techniques Ride to Rescue OLED Displays
Combinatorial optimization problems have recently emerged in the design of controllers for OLED displays. The objective is to decompose an image into subframes minimizing the addre...
Andreas Karrenbauer
PG
2007
IEEE
16 years 9 days ago
Precomputed Visibility Cuts for Interactive Relighting with Dynamic BRDFs
This paper presents a novel PRT-based method that uses precomputed visibility cuts for interactive relighting with all-frequency environment maps and arbitrary dynamic BRDFs. Our ...
Oskar Åkerlund, Mattias Unger, Rui Wang
ICCBR
2003
Springer
15 years 11 months ago
An Empirical Analysis of Linear Adaptation Techniques for Case-Based Prediction
This paper is an empirical investigation into the effectiveness of linear scaling adaptation for case-based software project effort prediction. We compare two variants of a linea...
Colin Kirsopp, Emilia Mendes, Rahul Premraj, Marti...
ICRA
2002
IEEE
147views Robotics» more  ICRA 2002»
15 years 11 months ago
Design of Asymptotically Stable Walking for a 5-Link Planar Biped Walker via Optimization
— Closed-loop, asymptotically stable walking motions are designed for a 5-link, planar bipedal robot model with one degree of underactuation. Parameter optimization is applied to...
E. R. Westervelt, J. W. Grizzle