ACL
2009
13 years 10 months ago
2009
This paper presents an unsupervised opinion analysis method for debate-side classification, i.e., recognizing which stance a person is taking in an online debate. In order to hand...
SIGDIAL
2010
13 years 10 months ago
2010
We build a model for speech disfluency detection based on conditional random fields (CRFs) using the Switchboard corpus. This model is then applied to a new domain without any ada...
SIAMJO
2010
13 years 10 months ago
2010
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerabilit...
TRANSCI
2008
14 years 10 days ago
2008
Abstract. We present a new model for a strategic locomotive scheduling problem arising at the Deutsche Bahn AG. The model is based on a multi-commodity min-cost flow formulation th...
TR
2008
14 years 10 days ago
2008
We consider the problem of maximizing the reliability of a series-parallel system given cost and weight constraints on the system. The number of components in each subsystem and th...
CANDC
2005
ACM
14 years 10 days ago
2005
ACM
The task of the quartet puzzling problem is to find a best-fitting binary X-tree for a finite n-set from confidence values for the 3 n 4 binary trees with exactly four leaves from...
EOR
2006
14 years 13 days ago
2006
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
AUTOMATICA
2006
14 years 15 days ago
2006
In this paper we show that the problem of optimal mine planning can be cast in the framework of receding horizon control. Traditional formulations of this problem have cast it in ...
DISOPT
2008
14 years 15 days ago
2008
This paper is motivated by the fact that mixed integer nonlinear programming is an important and difficult area for which there is a need for developing new methods and software f...
EMNLP
2006
14 years 1 months ago
2006
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...