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ICTAI
2009
IEEE
15 years 11 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
ISQED
2000
IEEE
91views Hardware» more  ISQED 2000»
15 years 9 months ago
Probabilistic Bottom-Up RTL Power Estimation
We address the problem of power estimation at the register-transfer level (RTL). At this level, the circuit is described in terms of a set of interconnected memory elements and co...
Ricardo Ferreira, A.-M. Trullemans, José C....
ISMB
2000
15 years 5 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
16 years 4 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
CIA
2007
Springer
15 years 10 months ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp