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BMCBI
2005
152views more  BMCBI 2005»
15 years 3 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
ISI
2006
Springer
15 years 3 months ago
Collective Sampling and Analysis of High Order Tensors for Chatroom Communications
This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...
Evrim Acar, Seyit Ahmet Çamtepe, Bülen...
JFR
2006
140views more  JFR 2006»
15 years 3 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
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ICML
2008
IEEE
16 years 4 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
TAINN
2005
Springer
15 years 8 months ago
An Evolutionary Local Search Algorithm for the Satisfiability Problem
Satisfiability problem is an NP-complete problem that finds itself or its variants in many combinatorial problems. There exist many complete algorithms that give successful results...
Levent Aksoy, Ece Olcay Gunes