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COLING
2010
15 years 1 months ago
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Joohyun Kim, Raymond J. Mooney
SODA
2010
ACM
190views Algorithms» more  SODA 2010»
16 years 4 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...
COMPLEX
2009
Springer
16 years 1 months ago
Evolution of the Internet AS-Level Ecosystem
— We seek a simple model that describes how market forces acting on rational players result in the evolution of the multi-faceted topology of the Internet that we see today. We m...
Srinivas Shakkottai, Marina Fomenkov, Ryan Koga, D...
ETRA
2008
ACM
235views Biometrics» more  ETRA 2008»
15 years 8 months ago
Using semantic content as cues for better scanpath prediction
Under natural viewing conditions, human observers use shifts in gaze to allocate processing resources to subsets of the visual input. There are many computational models that try ...
Moran Cerf, E. Paxon Frady, Christof Koch
DAC
1999
ACM
16 years 7 months ago
Representation of Function Variants for Embedded System Optimization and Synthesis
Many embedded systems are implemented with a set of alternative function variants to adapt the system to different applications or environments. This paper proposes a novel approa...
Dirk Ziegenbein, Jürgen Teich, Kai Richter, L...