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EMNLP
2011
14 years 7 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
C5
2003
IEEE
16 years 22 days ago
SuperSwiki - Bringing collaboration to the class room
SuperSwiki is a not yet well defined term. Its origins go back to Ward Cunningham's Wiki and its Squeak variant, the Swiki. It provides a place to share and edit web pages, f...
Michael Rüger
RTAS
2003
IEEE
16 years 21 days ago
Modular Code Generation from Hybrid Automata based on Data Dependency
Model-based automatic code generation is a process of converting abstract models into concrete implementations in the form of a program written in a high-level programming languag...
Jesung Kim, Insup Lee
ICSE
2000
IEEE-ACM
15 years 11 months ago
Galileo: a tool built from mass-market applications
We present Galileo, an innovative engineering modeling and analysis tool built using an approach we call packageoriented programming (POP). Galileo represents an ongoing evaluatio...
David Coppit, Kevin J. Sullivan
SPIN
2000
Springer
15 years 11 months ago
Verification and Optimization of a PLC Control Schedule
Abstract. We report on the use of model checking techniques for both the verification of a process control program and the derivation of optimal control schedules. Most of this wor...
Ed Brinksma, Angelika Mader
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