Sökning: "observation models"
Visar resultat 11 - 15 av 334 avhandlingar innehållade orden observation models.
11. Reduced Receivers for Faster-than-Nyquist Signaling and General Linear Channels
Sammanfattning : Fast and reliable data transmission together with high bandwidth efficiency are important design aspects in a modern digital communication system. Many different approaches exist but in this thesis bandwidth efficiency is obtained by increasing the data transmission rate with the faster-than-Nyquist (FTN) framework while keeping a fixed power spectral density (PSD). LÄS MER
12. Deficient bodies and divine interventions : women, midwives, and the medicalisation of childbirth - a gender perspective
Sammanfattning : Background In Sweden, one of the safest countries to give birth and to be born in, there is a trend towards increasing interventions during childbirth, and fewer women than ever give birth without having their labours induced or augmented, epidural analgesia, or caesarean section. While interventions at times are vital for a safe birth, there is a growing body of evidence demonstrating that an overuse of medical and technological interventions may have adverse effects on woman and child. LÄS MER
13. Probabilistic Programming for Birth-Death Models of Evolution
Sammanfattning : Phylogenetic birth-death models constitute a family of generative models of evolution. In these models an evolutionary process starts with a single species at a certain time in the past, and the speciations—splitting one species into two descendant species—and extinctions are modeled as events of non-homogenous Poisson processes. LÄS MER
14. Dissolved organic carbon in tropical watersheds : Linking field observation and eco-hydrological modelling
Sammanfattning : Dissolved organic carbon (DOC) is a general description of the organic material dissolved in water. DOC is an important source of energy, carbon, and nutrient transfers from terrestrial to aquatic ecosystems. The export of DOC into aquatic ecosystems may contribute to the carbon balance of terrestrial ecosystems and to water degradation. LÄS MER
15. Shared Gaussian Process Latent Variable Models
Sammanfattning : A fundamental task in machine learning is modeling the relationship between different observation spaces. Dimensionality reduction is the task of reducing thenumber of dimensions in a parameterization of a data-set. In this thesis we areinterested in the cross-road between these two tasks: shared dimensionality reduction. LÄS MER
