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JMLR
2012
13 years 9 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
JMLR
2012
13 years 9 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
EACL
2009
ACL Anthology
16 years 7 months ago
EM Works for Pronoun Anaphora Resolution
We present an algorithm for pronounanaphora (in English) that uses Expectation Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While EM freq...
Eugene Charniak, Micha Elsner
ICCD
2000
IEEE
116views Hardware» more  ICCD 2000»
16 years 3 months ago
Representing and Scheduling Looping Behavior Symbolically
This paper presents a very general, exact technique for scheduling looping data-flow graphs. In contrast to the conventional technique using loop iteration variables and integer ...
Steve Haynal, Forrest Brewer
HICSS
2009
IEEE
127views Biometrics» more  HICSS 2009»
16 years 1 months ago
An Optimization Model for Tactical Planning of Wood Procurement
This paper presents a new LP (Linear Programming) model to solve a tactical wood procurement and harvesting problem. This optimization problem occurs in several wood supply chains...
Anders Skjäl, Kaj-Mikael Björk, Jenny &O...