SUMOsu implements a machine learning approach to sumoylation site prediction, similar to seeSUMO and SUMOhydro.
Klinger [7] implemented a new machine learning approach based on Conditional Random Fields (CRF) to detect IUPAC and IUPAC-like chemical names in the scientific literature and obtained good performance: an F measure of 85.6% on a MEDLINE [15] corpus.
Bisgin et al. successfully implemented an unsupervised machine learning technique, Latent Dirichlet Allocation (LDA), for topic modelling on FDA labels [ 18].
We implemented an ensemble machine-learning method and identified a minimal gene signature set that distinguished a group of tumors with loco-regional recurrence from the non-recurrent set.
To develop a computational methodology to identify IRES-specific patterns and accurately predict these regulatory elements in fungal species, we implemented a support vector machine (SVM) method using 5'-UTR sequence characteristics and comparative genomic features.
His discussion revolves around his imaginary Olympia machine, a system of buckets that transfers water, implementing a Turing machine.
To do the comparison, we first implemented a method for machine-generating questions from a biology knowledge base.
The method has already been implemented in a machine tools CAID software system.
To experimentally demonstrate its enhanced performance, the developed ReMAC system is then used for monitoring and control of a chemical reactor with a water cooling system in a hardware-in-the-loop setting, where the reactor is computer simulated and the water cooling system is implemented by a machine condition monitoring testbed at Idaho National Laboratory.
In order to show the efficiency not only in theory but also in practice, the algorithms were implemented on a machine with multiple GPUs using compute unified device architecture (CUDA).
This chapter describes a simple approach to implementing a state machine for an embedded system.
