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217
Voted
ANSS
1996
IEEE
15 years 11 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
237
Voted
ICAC
2006
IEEE
16 years 1 months ago
The Laundromat Model for Autonomic Cluster Computing
Traditional High Performance Computing systems require extensive management and suffer from security and configuration problems. This paper presents a new clustermanagement syste...
Jacob Gorm Hansen, Eske Christiansen, Eric Jul
191
Voted
DIGRA
2003
Springer
16 years 19 days ago
Supporting visual elements of non-verbal communication in computer game avatars
Communication between players in networked computer games is often inadequately implemented. The games do not exploit the full potential of using different forms of communication ...
Tomi Kujanpää, Tony Manninen
CLOUD
2010
ACM
16 years 15 days ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 11 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass