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ICML
1994
IEEE
14 years 15 days ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
BMCBI
2008
149views more  BMCBI 2008»
13 years 9 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
AUSAI
2008
Springer
13 years 11 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
TCOM
2008
63views more  TCOM 2008»
13 years 9 months ago
A general construction of constrained parity-check codes for optical recording
This paper proposes a general and systematic code design method to efficiently combine constrained codes with parity-check (PC) codes for optical recording. The proposed constraine...
Kui Cai, Kees A. Schouhamer Immink
BIRTHDAY
2007
Springer
14 years 29 days ago
Deriving Specifications for Systems That Are Connected to the Physical World
Well understood methods exist for developing programs from formal specifications. Not only do such methods offer a precise check that certain sorts of deviations from their specifi...
Cliff B. Jones, Ian J. Hayes, Michael A. Jackson