We put forward an innovative use of probabilistic topic modeling (PTM) intertwined with reinforcement learning (RL), to provide personalized recommendations. Specifically, we model items under recommendation as mixtures of latent topics following a distribution with Dirichlet priors; this can be achieved via the exploitation of crowdsourced information for each item. Similarly, we model the use...

This study shows that the joint effects of the entrepreneur’s personality and an unpredictable environment, as well as the interaction effects of a low uncertainty avoidance culture, predict opportunity exploitation. Our study’s findings are consistent with the emerging opportunityexploiter nexus framework of Shane and Venkataraman, which posits that the rate and nature of entrepreneurial explo...

This paper offers a fuzzy balance management scheme between exploration and exploitation, which can be implemented in any critic-only fuzzy reinforcement learning method. The paper, however, focuses on a newly developed continuous reinforcement learning method, called fuzzy Sarsa learning (FSL) due to its advantages. Establishing balance greatly depends on the accuracy of action value function ...

Preliminary notes This paper proposes new static resource utilization (SRU) approach by using the fractional frequency reuse (FFR) technique to enhance resource exploitation in Worldwide Interoperability for Microwave Access (WiMAX) 802.16e. This approach not only efficiently enhances resource exploitation in the base station (BS) but also increases the data rate and number of served users. Thi...

A model is presented to explore how the form of selection arising from competition for resources is affected by spatial resource heterogeneity. The model consists of a single species occupying two patches connected by migration, where the two patches can differ in the type of resources that they contain. The main goal is to determine the conditions under which competition for resources results ...

We forecasted spatially structured population models with complex dynamics, focusing on the effect of dispersal and spatial scale on the predictive capability of nonlinear forecasting (NLF). Dispersal influences NLF ability by its influence on population dynamics. For simple 2-cell models, when dispersal is small, our ability to predict abundance in subpopulations decreased and then increased w...

Although Internet scanning is one of the most popular malware propagation methods, sound measurements about its success rate are not generally available. In this work, we assess the success rate of an Internet-wide scanning event that was orchestrated by the Sality botnet during February 2011 using data from a university network. We first use unsampled NetFlow records from the border router of ...

Some accounts of exploitation, most notably the degradation-based account provided by Ruth Sample (2003) and Robert Goodin’s (1987) vulnerability-based account, argue that persons are exploited when the benefit they receive from a transaction falls below a certain threshold value. According to these accounts, the duty of the advantaged party to constrain their advantage in light of the other pa...

Human groups contain reproductively relevant resources that differ greatly in their ease of accessibility. The authors advance a conceptual framework for the study of 2 classes of adaptations that have been virtually unexplored: (a) adaptations for exploitation designed to expropriate the resources of others through deception, manipulation, coercion, intimidation, terrorization, and force and (...