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ECCV
2010
Springer
13 years 10 months ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
EDM
2009
110views Data Mining» more  EDM 2009»
13 years 5 months ago
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
Mingyu Feng, Joseph Beck, Neil T. Heffernan
ICPP
2006
IEEE
14 years 1 months ago
Data Transfers between Processes in an SMP System: Performance Study and Application to MPI
— This paper focuses on the transfer of large data in SMP systems. Achieving good performance for intranode communication is critical for developing an efficient communication s...
Darius Buntinas, Guillaume Mercier, William Gropp
ATAL
2008
Springer
13 years 9 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
CHI
2008
ACM
14 years 8 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz