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» Structure in the Space of Value Functions
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ACL
1994
15 years 7 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
TSMC
2010
15 years 1 months ago
Fractional Particle Swarm Optimization in Multidimensional Search Space
In this paper, we propose two novel techniques, which successfully address several major problems in the field of particle swarm optimization (PSO) and promise a significant breakt...
Serkan Kiranyaz, Turker Ince, E. Alper Yildirim, M...
AI
2010
Springer
15 years 6 months ago
Kernel functions for case-based planning
Case-based planning can take advantage of former problem-solving experiences by storing in a plan library previously generated plans that can be reused to solve similar planning p...
Ivan Serina
ICCV
2007
IEEE
16 years 23 days ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
BMCBI
2004
196views more  BMCBI 2004»
15 years 6 months ago
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
Background: In a previous paper, we introduced MUSCLE, a new program for creating multiple alignments of protein sequences, giving a brief summary of the algorithm and showing MUS...
Robert C. Edgar