This issue of organizational unlearning, which is defined as the discarding of old routines to make way for new ones, has received limited attention in the literature although studies of organizational learning have been proliferating. Based on a comparative case analysis of eight Sino-foreign joint ventures, this study examines knowledge transfer by foreign partners to greenfield versus acquis...

| The leave-one-out cross-validation scheme for generalization assessment of neu-ral network models is computationally expensive due to replicated training sessions. Linear unlearning of examples has recently been suggested as an approach to approximative cross-validation. Here we brieey review the linear unlearning scheme, dubbed LULOO, and we illustrate it on a system identiication example. F...

Huge amounts of money are spent every year on unlearning programs--in drug-treatment facilities, prisons, psychotherapy clinics, and schools. Yet almost all of these programs fail, since recidivism rates are high in each of these fields. Progress on this problem requires a better understanding of the mechanisms that make unlearning so difficult. Much cognitive neuroscience evidence suggests tha...

Unlearning is defined as throwing away concepts learnt in the past to give space for possible new learning. The learning process that supports deep change should be composed by different unlearning-learning phases, both at the individual level and at a more general organizational level. Must unlearning and relearning concepts be explicitly considered in business process reengineering based on t...

Interventions for drug abuse and other maladaptive habitual behaviors may yield temporary success, but are often fragile and relapse is common. This implies that current interventions do not erase or substantially modify the representations that support the underlying addictive behavior — that is, they do not cause true unlearning. One example of an intervention that fails to induce true unlear...

An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously seen training data, in a number of steps each computed analytically. The incremental procedure is reversible, and decremental “unlearning” offers an efficient method to exactly evaluate leave-one-out generalization perfo...

This study investigates how child speakers of a verb second (V2) language acquire the supposedly more basic SVO word order of English. Data comes from approximately 100 Norwegian school children aged 7 to 12 in their acquisition of three related syntactic constructions. The focus of the investigation is the extent of language transfer from the L1, related to questions of markedness. It is shown...