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» Generality Is Predictive of Prediction Accuracy
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ICML
2007
IEEE
16 years 7 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
MCS
2009
Springer
16 years 1 months ago
Selective Ensemble under Regularization Framework
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
Nan Li, Zhi-Hua Zhou
CCS
2007
ACM
16 years 28 days ago
Analyzing the vulnerability of superpeer networks against attack
In this paper, we develop an analytical framework to measure the vulnerability of superpeer networks against attack. Two different kinds of attacks namely deterministic and degre...
Bivas Mitra, Fernando Peruani, Sujoy Ghose, Niloy ...
UM
2007
Springer
16 years 26 days ago
A Practical Activity Capture Framework for Personal, Lifetime User Modeling
Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...
Max Van Kleek, Howard E. Shrobe
ICRA
2006
IEEE
130views Robotics» more  ICRA 2006»
16 years 24 days ago
Mathematical Foundation for Hormone-inspired Control for Self-reconfigurable Robotic Systems
– In this paper, we present a general mathematical foundation of hormone-inspired control for the selfreconfigurable robotic system. Problem considered here is the lack of a math...
Feili Hou, Wei-Min Shen