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» Reinforcement Learning with Time
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143
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PCI
2005
Springer
15 years 10 months ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams
ICANN
2003
Springer
15 years 10 months ago
Learning Rule Representations from Boolean Data
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...
IJCNN
2000
IEEE
15 years 9 months ago
Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital Circuit
We have fabricated a PCA (Principal Component Analysis) learning network in a FPGA (Field Programmable Gate Array) by using an asynchronous PDM (Pulse Density Modulation) digital ...
Yuzo Hirai, Kuninori Nishizawa
118
Voted
HICSS
1998
IEEE
136views Biometrics» more  HICSS 1998»
15 years 9 months ago
Application of Technology and Asynchronous Learning Networks in Large Lecture Classes
The evolution of the computer-assisted personalized approach (CAPA) system and its use in large lecture classes is described. Further individual student contact in these large cla...
M. Thoennessen, E. Kashy, Y. Tsai, N. E. Davis
AAAI
2008
15 years 7 months ago
Online Learning with Expert Advice and Finite-Horizon Constraints
In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
Branislav Kveton, Jia Yuan Yu, Georgios Theocharou...