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» Additive functions for number systems in function fields
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ICPR
2008
IEEE
14 years 8 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
ICML
2005
IEEE
14 years 8 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
MOC
2000
111views more  MOC 2000»
13 years 7 months ago
Voronoi's algorithm in purely cubic congruence function fields of unit rank 1
The first part of this paper classifies all purely cubic function fields over a finite field of characteristic not equal to 3. In the remainder, we describe a method for computing ...
Renate Scheidler, Andreas Stein
DSD
2008
IEEE
125views Hardware» more  DSD 2008»
14 years 1 months ago
On the Complexity of Error Detection Functions for Redundant Residue Number Systems
This paper considers a single-digit error detection in a Redundant Residue Number System (RRNS). Let f be the function that denotes the set of legitimate codes of an RRNS. To anal...
Tsutomu Sasao, Yukihiro Iguchi
MOC
2002
73views more  MOC 2002»
13 years 7 months ago
Evaluation of zeta function of the simplest cubic field at negative odd integers
Abstract. In this paper, we are interested in the evaluation of the zeta function of the simplest cubic field. We first introduce Siegel's formula for values of the zeta funct...
Hyun Kwang Kim, Jung Soo Kim