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CICLING
2006
Springer
15 years 6 months ago
Application of Semi-supervised Learning to Evaluative Expression Classification
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
Yasuhiro Suzuki, Hiroya Takamura, Manabu Okumura
ESANN
1998
15 years 4 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
AAAI
1997
15 years 4 months ago
Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. I demonstrateworst-case upper bounds on the absolute loss for the perceptron algorithm and ...
Tom Bylander
IJCAI
1989
15 years 4 months ago
Learning Novel Domains Through Curiosity and Conjecture
This paper describes DIDO, a system we have developed to carry out exploratory learning of unfamiliar domains without assistance from an external teacher. The program incorporates...
Paul D. Scott, Shaul Markovitch
ICASSP
2010
IEEE
15 years 3 months ago
An L1 criterion for dictionary learning by subspace identification
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...
Florent Jaillet, Rémi Gribonval, Mark D. Pl...