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» On the Complexity of Function Learning
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ICML
1996
IEEE
15 years 4 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
CDES
2008
130views Hardware» more  CDES 2008»
15 years 2 months ago
A Quantum Algorithm for Finding Minimum Exclusive-Or Expressions for Multi-Output Incompletely Specified Boolean Functions
This paper presents a quantum algorithm for finding minimal ESCT (Exclusive-or Sum of Complex Terms) or ESOP (Exclusive-or Sum Of Products) expressions for any arbitrary multi-outp...
Marinos Sampson, Dimitrios Voudouris, George K. Pa...
54
Voted
NAR
2000
101views more  NAR 2000»
15 years 15 days ago
FIMM, a database of functional molecular immunology
FIMM database (http://sdmc.krdl.org.sg:8080/fimm ) contains data relevant to functional molecular immunology, focusing on cellular immunology. It contains fully referenced data on...
Christian Schönbach, Judice L. Y. Koh, Xin Sh...
NCA
2007
IEEE
15 years 7 days ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
CCA
2005
Springer
15 years 2 months ago
Computable Versions of Basic Theorems in Functional Analysis
If one wishes to find out whether a computational problem over discrete data is solvable or how complex it is, the classical approach is to represent the discrete objects in quest...
Atsushi Yoshikawa, Mariko Yasugi