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» Learning Algorithms for Domain Adaptation
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KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 3 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 3 months ago
Bayesian Optimisation Algorithm for Nurse Scheduling
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
Jingpeng Li, Uwe Aickelin
NIPS
2000
15 years 4 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
EOR
2000
120views more  EOR 2000»
15 years 2 months ago
Tabu Search applied to global optimization
A new algorithm called Enhanced Continuous Tabu Search (ECTS) is proposed for the global optimization of multiminima functions. It results from an adaptation of combinatorial Tabu...
Rachid Chelouah, Patrick Siarry
ATAL
2006
Springer
15 years 6 months ago
Probabilistic policy reuse in a reinforcement learning agent
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
Fernando Fernández, Manuela M. Veloso