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» Information Theory, Inference, and Learning Algorithms
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ICML
2009
IEEE
14 years 8 months ago
Learning from measurements in exponential families
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
Percy Liang, Michael I. Jordan, Dan Klein
ICMI
2003
Springer
96views Biometrics» more  ICMI 2003»
14 years 1 months ago
Learning and reasoning about interruption
We present methods for inferring the cost of interrupting users based on multiple streams of events including information generated by interactions with computing devices, visual ...
Eric Horvitz, Johnson Apacible
IJON
2007
184views more  IJON 2007»
13 years 7 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
KI
2002
Springer
13 years 7 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
IUI
2003
ACM
14 years 1 months ago
Towards a theory of natural language interfaces to databases
The need for Natural Language Interfaces to databases (NLIs) has become increasingly acute as more and more people access information through their web browsers, PDAs, and cell ph...
Ana-Maria Popescu, Oren Etzioni, Henry A. Kautz