Learning Through Connection
THE tradition in microeconomic theory is to take wants and technology as givens and to proceed from these to deduce from the assumption of scarcity testable implications and normative propositions. These assump- tions, together with variety in tastes and abilities and differences in the number of rivals, give rise to most economic laws.
The article aims to investigate the influence of current neoliberal theory and policies on restructuring the European model of welfare state and analyses of different types of neoliberal policies both in terms of concrete actions and types of discourse through which are underlined the supposed benefits of the de-regulation model of the European state and its replacement with one based on the supremacy of market mechanisms.
Click-through rate (CTR) prediction plays an important role in computational advertising. Models based on degree-2 polynomial mappings and factorization machines (FMs) are widely used for this task. Recently, a variant of FMs, field aware factorization machines (FFMs), outperforms existing models in some world-wide CTR-prediction competitions.
This essay seeks to lay the foundation for an understanding of welfare state retrenchment. Previous discussions have generally relied, at least implicitly, on a reflexive application of theories designed to explain welfare state expansion. Such an approach is seriously flawed. Not only is the goal of retrenchment (avoiding blame for cutting existing programs) far different from the goal of expansion (claiming credit for new social benefits), but the welfare state itself vastly alters the terrain on which the politics of social policy is fought out. Only an appreciation of how mature social programs create a new politics can allow us to make sense of the welfare state's remarkable resilience over the past two decades of austerity. Theoretical argument is combined with quantitative and qualitative data from four cases (Britain, the United States, Germany, and Sweden) to demonstrate the shortcomings of conventional wisdom and to highlight the factors that limit or facilitate retrenchment success.