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CSDA
2004
188views more  CSDA 2004»
13 years 7 months ago
A bandwidth selection for kernel density estimation of functions of random variables
In this investigation, the problem of estimating the probability density function of a function of m independent identically distributed random variables, g(X1, X2, ..., Xm) is co...
A. R. Mugdadi, Ibrahim A. Ahmad
EUROPAR
2007
Springer
14 years 2 months ago
Negotiation Strategies Considering Opportunity Functions for Grid Scheduling
In Grid systems, nontrivial qualities of service have to be provided to users by the resource providers. However, resource management in a decentralized infrastructure is a complex...
Jiadao Li, Kwang Mong Sim, Ramin Yahyapour
MLDM
2007
Springer
14 years 2 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
DEXA
2010
Springer
133views Database» more  DEXA 2010»
13 years 2 months ago
Low Power Management of OLTP Applications Considering Disk Drive Power Saving Function
Abstract. A power-saving management for OLTP applications has become an important task for user budgets and datacenter operations. This paper presents a novel power-saving method f...
Norifumi Nishikawa, Miyuki Nakano, Masaru Kitsureg...
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 2 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...