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» On vector autoregressive modeling in space and time
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ACL
1994
14 years 10 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
ICASSP
2011
IEEE
14 years 1 months ago
Modeling nodal prices in deregulated electricity markets in the usa: current practices and future needs
The purpose of this paper is to model the stochastic behavior of the nodal prices of electricity in deregulated markets in the USA, and in particular, to explain how this behavior...
Timothy D. Mount
ICML
2007
IEEE
15 years 10 months ago
A kernel path algorithm for support vector machines
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
JSS
2006
80views more  JSS 2006»
14 years 9 months ago
Polyhedral space generation and memory estimation from interface and memory models of real-time video systems
We present a tool and a methodology for estimating the memory storage requirement for synchronous real-time video processing systems. Typically, a designer will use the feedback i...
Benny Thörnberg, Qubo Hu, Martin Palkovic, Ma...
ICTAI
2006
IEEE
15 years 3 months ago
Modeling and Recognition of Gesture Signals in 2D Space: A Comparison of NN and SVM Approaches
In this paper we introduce a novel technique for modeling and recognizing gesture signals in 2D space. This technique is based on measuring the direction of the gradient of the mo...
Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chao F...