(IPM) predicts a population growth rate l with associated eigenvectors and statedependent sensitivity and elasticity functions Several empirical studies have illustrated how a kernel can be estimated from the same data as a matrix model The currently available general theory for IPMs When several

knapsack problem we propose two solutions based on a machine learning technique known as learning automata. We show empirically that our proposed solutions continuously improve their performance through a learning process and that they are capable of operating in non-stationary environments. We also show

participant, as determined by the four-frequency pure-tone average (i.e., thresholds at 500, 1000, 2000, 4000 Hz). The contralateral ear was plugged by leaving its hearing instrument in place, but turned off. This monaural measurement of the PLL was chosen to facilitate comparison with previously published

of both the player population and the player interactions. We evaluate several algorithms, including a novel neural network predictor, for predicting the resource demand. Using trace-based simulation, we evaluate the impact of the data center policies on the resource provisioning efficiency; we show

questionnaire that summarizes parents' views would be a good way of obtaining an overview of the process and outcomes. Thus this method is desirable in its own right. Second, parents whose children received implants can offer comments of great value to implant teams and policy makers. They not only provide

, skills, and habits Two Strategies for Promoting Civic and Political Engagement We focus on two prominent civic learning strategies that scholars, policy makers, and practitioners have identified as promising (see Open Discussion of Societal Issues Portraits of effective strategies for promoting civic

estimation and routing over highly dynamic links, thats is, bursty links that rapidly shift between reliable and unreliable periods of transmissions. Based on significant empirical evidence of over 100,000 transmissions over each link in 802.15.4 and 802.11 testbeds, we propose two metrics, expected future

.g., Subset of Data and FITC). We empirically investigate four different approximation algorithms on four different prediction problems, and make our code available to encourage future comparisons.

-spatial (Morris water maze, MWM; Barnes maze, BM) learning/memory. Altered emotional phenotype after chronic corticosterone treatment was confirmed in mice using tests predictive of anxiety or depression-related behaviors. In the NORT, CORT-treated mice showed a decrease in time exploring the novel object during

in the situated view. There is no attempt to catalog and predict invariant reactions (as in classical behaviorism) as situations are said to vary unpredictably, but the relation between actor and environment is one of reaction in this logic. 7 People ``orient to a situation'' rather than proactively