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» Optimizing Complex Loss Functions in Structured Prediction
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IPPS
2008
IEEE
15 years 4 months ago
On the Effectiveness of Rebuilding RNA Secondary Structures from Sequence Chunks
Despite the computing power of emerging technologies, predicting long RNA secondary structures with thermodynamics-based methods is still infeasible, especially if the structures ...
Michela Taufer, Thamar Solorio, Abel Licon, David ...
89
Voted
BMCBI
2004
174views more  BMCBI 2004»
14 years 9 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
111
Voted
AAAI
2010
14 years 11 months ago
Coalition Structure Generation based on Distributed Constraint Optimization
Forming effective coalitions is a major research challenge in AI and multi-agent systems (MAS). Coalition Structure Generation (CSG) involves partitioning a set of agents into coa...
Suguru Ueda, Atsushi Iwasaki, Makoto Yokoo, Marius...
CORR
2010
Springer
98views Education» more  CORR 2010»
14 years 9 months ago
Structure-Aware Stochastic Control for Transmission Scheduling
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
Fangwen Fu, Mihaela van der Schaar
77
Voted
IJCNN
2007
IEEE
15 years 4 months ago
Predicting Spike Activity in Neuronal Cultures
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
Tayfun Gürel, Ulrich Egert, Steffen Kandler, ...