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» Machine Learning by Function Decomposition
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COLT
2004
Springer
15 years 2 months ago
A Function Representation for Learning in Banach Spaces
Charles A. Micchelli, Massimiliano Pontil
104
Voted
NPL
2006
172views more  NPL 2006»
14 years 9 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
ITCC
2002
IEEE
15 years 2 months ago
FSM Implementation in Embedded Memory Blocks of Programmable Logic Devices Using Functional Decomposition
: Since modern programmable devices contain embedded memory blocks, there exists a possibility to implement Finite State Machines (FSM) using such blocks. The size of the memory av...
Henry Selvaraj, Mariusz Rawski, Tadeusz Luba
62
Voted
ISMVL
1999
IEEE
72views Hardware» more  ISMVL 1999»
15 years 1 months ago
Information Relationships and Measures in Application to Logic Design
In this paper, the theory of information relationships and relationship measures is considered and its application to logic design is discussed. This theory makes operational the ...
Lech Józwiak
76
Voted
ALT
2001
Springer
15 years 6 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...