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» Induction in Noisy Domains
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JAIR
2007
127views more  JAIR 2007»
14 years 11 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 ...
ACL
1998
15 years 1 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
83
Voted
VLSID
2008
IEEE
83views VLSI» more  VLSID 2008»
16 years 3 days 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 1 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 2 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