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COLT
1994
Springer
15 years 3 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
ESSMAC
2003
Springer
15 years 4 months ago
Hex: Dynamics and Probabilistic Text Entry
We present a gestural interface for entering text on a mobile device via continuous movements, with control based on feedback from a probabilistic language model. Text is represent...
John Williamson, Roderick Murray-Smith
79
Voted
AES
2007
Springer
92views Cryptology» more  AES 2007»
14 years 11 months ago
MicroARTMAP for pattern recognition problems
Pattern recognition is an important aspect of a dominant technology such as machine intelligence. Domain specific fuzzy-neuro models particularly for the ‘black box’ implemen...
Sundaramoorthy Rajasekaran, Vasantha Kalyani David
109
Voted
CIKM
2011
Springer
13 years 11 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
87
Voted
CHI
2009
ACM
16 years 6 days ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami