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A Framework For Developing Corporate Innovation Strategy; PATSA Group Case Study
, M.Sc. Thesis Sharif University of Technology ; Kermanshah, Ali (Supervisor) ; Isaaei, Mohammad Taghi (Supervisor)
Abstract
There has been a lively debate between two major strategist groups in innovation strategy literature. The first, with Ansoff being the protagonist, pose a rational approach in describing a corporate innovation strategy formulation process while the other group, with Mintzburg as the protagonist, prescribe an incremental approach.It seems that in continuous change and uncertainty, rational approach can weakly predict the reality and one can claim that in such situations incremental approach is more effective than rational approach. Based on the review of literature and consequent classification, most of the strategies that are named as innovation strategies in literature use rational...
Incremental evolving domain adaptation
, Article IEEE Transactions on Knowledge and Data Engineering ; Volume 28, Issue 8 , 2016 , Pages 2128-2141 ; 10414347 (ISSN) ; Soleymani Baghshah, M ; Gheisari, M ; Sharif University of Technology
IEEE Computer Society
Abstract
Almost all of the existing domain adaptation methods assume that all test data belong to a single stationary target distribution. However, in many real world applications, data arrive sequentially and the data distribution is continuously evolving. In this paper, we tackle the problem of adaptation to a continuously evolving target domain that has been recently introduced. We assume that the available data for the source domain are labeled but the examples of the target domain can be unlabeled and arrive sequentially. Moreover, the distribution of the target domain can evolve continuously over time. We propose the Evolving Domain Adaptation (EDA) method that first finds a new feature space...