Time-lags in primate occupancy: a study case using dynamic models

Evolutionary learning of dynamic probabilistic models with large time lags

In this paper, we explore the automatic explanation of Multivariate Time Series (MTS) through learning Dynamic Bayesian Networks (DBNs). We have developed an evolutionary algorithm which exploits certain characteristics of process MTS in order to generate good networks as quickly as possible. We compare this algorithm to other standard learning algorithms that have traditionally been used for s...

Time Lags: A Feasibility Study

Dynamic occupancy models in unmarked

Dynamic occupancy models (MacKenzie et al. 2003) allow inference about the occurrence of “things” at collections of “sites” and about how changes in occurrence are driven by colonization and local extinction. These models also account for imperfect detection probability. Depending on how “thing” and “site” are defined, occupancy may have vastly different biological meanings, including the prese...

Advective Time Lags in Box Models

We consider a box model of the thermohaline circulation with mixed boundary conditions in which advective processes are incorporated via an explicit time delay mechanism. The pipes which connect the subtropical and subpolar boxes have a nite volume and do not interact with the atmosphere or with the rest of the ocean except for channeling uxes between the subtropical and subpolar regions. The c...

metrics for the detection of changed buildings in 3d old vector maps using als data (case study: isfahan city)

هدف از این تحقیق، ارزیابی و بهبود متریک های موجود جهت تایید صحت نقشه های قدیمی سه بعدی برداری با استفاده از ابر نقطه حاصل از لیزر اسکن جدید شهر اصفهان می باشد . بنابراین ابر نقطه حاصل از لیزر اسکنر با چگالی حدودا سه نقطه در هر متر مربع جهت شناسایی عوارض تغییر کرده در نقشه های قدیمی سه بعدی استفاده شده است. تمرکز ما در این تحقیق بر روی ساختمان به عنوان یکی از اصلی ترین عارضه های شهری می باشد. من...