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» Machine learning problems from optimization perspective
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ICML
2007
IEEE
16 years 4 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
ICML
2006
IEEE
16 years 4 months ago
Constructing informative priors using transfer learning
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Rajat Raina, Andrew Y. Ng, Daphne Koller
ICALT
2007
IEEE
15 years 9 months ago
Towards a Unified Learning Style Model in Adaptive Educational Systems
Accommodating learning styles in adaptive educational systems represents an important step towards providing individualized instruction. The paper summarizes the main results repo...
Elvira Popescu, Philippe Trigano, Costin Badica
NIPS
2007
15 years 4 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
DCC
2006
IEEE
16 years 2 months ago
Non-Asymptotic Design of Finite State Universal Predictors for Individual Sequences
In this work we consider the problem of universal prediction of individual sequences where the universal predictor is a deterministic finite state machine, with a fixed, relativel...
Amir Ingber, Meir Feder