The phrase 'formulate the task' is correct and can be used in written English.
It can be used when referring to outlining the steps or goals necessary to complete a task. For example, "The manager had to formulate the task of reorganizing the filing system before delegating it to the team."
We formulate the task of sub-band allocation and power assignment as an optimization problem, and prove its complexity.
This is a slight oversimplification of the problem, but applying the parsimony principle is necessary to formulate the task as an optimization problem.
All of the above machine-learning based methods for drug target interaction prediction formulate the task as a binary classification problem, with the goal to classify a given drug target pair as binding or non-binding.
We formulate the task as follows.
We formulate the task of epigenetic code discovery in the framework of non-negative matrix factorization (NMF) [ 29, 30].
We formulate the task of predicting acceptor splice sites as a binary classification problem in which the positive class represents true acceptor splice sites and the negative class is comprised by decoy "AG" sites.
Section 3 formulates the task of the work and gives an overview of our method.
In this paper, we formulated the task assignment for a data center as an integer programming optimization problem and proved the average task response time is bounded with an optimized number of active servers.
We have constructed a software tool capable of refactoring object-oriented programs to conform more closely to a given design quality model, by formulating the task as a search problem in the space of alternative designs.
Each method formulates the task as one of text classification, models the data as a bipartite graph of documents and words, and enables prior knowledge concerning the sentiment orientation of documents or words of interest to be effectively combined with "auxiliary" information to produce accurate sentiment estimates.
Each method formulates the task as one of text classification, models the data as a bipartite graph of documents and words, and assumes that only limited prior information is available regarding the sentiment orientation of any of the documents or words of interest.
