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» Induction in Noisy Domains
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96
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JAIR
2007
127views more  JAIR 2007»
15 years 1 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
84
Voted
ACL
1998
15 years 3 months ago
An Interactive Domain Independent Approach to Robust Dialogue Interpretation
We discuss an interactive approach to robust interpretation in a large scale speech-to-speech translation system. Where other interactive approaches to robust interpretation have ...
Carolyn Penstein Rosé, Lori S. Levin
VLSID
2008
IEEE
83views VLSI» more  VLSID 2008»
16 years 2 months ago
Efficient Linear Macromodeling via Discrete-Time Time-Domain Vector Fitting
We present a discrete-time time-domain vector fitting algorithm, called TD-VFz, for rational function macromodeling of port-to-port responses with discrete time-sampled data. The ...
Chi-Un Lei, Ngai Wong
AAAI
1994
15 years 3 months ago
Using Induction to Refine Information Retrieval Strategies
Conceptual information retrieval systems use structured document indices, domain knowledge and a set of heuristic retrieval strategies to match user queries with a set of indices ...
Catherine Baudin, Barney Pell, Smadar Kedar
AAAI
2012
13 years 4 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley