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NAACL
2010
15 years 4 months ago
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
Kevin Gimpel, Noah A. Smith
PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
16 years 1 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
POPL
2006
ACM
16 years 7 months ago
Adventures in time and space
Abstract. This paper investigates what is essentially a call-by-value version of PCF under a complexity-theoretically motivated type system. The programming formalism, ATR, has its...
Norman Danner, James S. Royer
NIPS
1998
15 years 8 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
IEICET
2006
58views more  IEICET 2006»
15 years 6 months ago
Sensitivity of Time Response to Characteristic Ratios
In recent works [1], [5], it has been shown that the damping of a linear time invariant system relates to the so-called characteristic ratios (k, k = 1,
Youngchol Kim, Keunsik Kim, Shunji Manabe