Results 181 to 190 of about 22,384 (303)
Semi-markov conditional random fields for information extraction [PDF]
We describe semi-Markov conditional random fields (semi-CRFs), a con- ditionally trained version of semi-Markov chains. Intuitively, a semi- CRF on an input sequence x outputs a “segmentation” of x, in which labels are assigned to segments (i.e ...
Sarawagi, Sunita +2 more
core
Different demographic drivers of recovery in two adjacent populations of a long‐lived bird of prey
Understanding the demographic mechanisms underlying population decline or recovery is critical for conservation and management, yet similar population trends may arise from very different underlying processes. Comparing populations of vulnerable species groups like long‐lived raptors in different environments can reveal how species respond to change ...
Carina Nebel +4 more
wiley +1 more source
Connecting Markov random fields and active contour models: application to gland segmentation and classification. [PDF]
Xu J, Monaco JP, Sparks R, Madabhushi A.
europepmc +1 more source
Evergreen broadleaved forests (EBLFs) represent an iconic vegetation type in subtropical montane East Asia, but they are experiencing intensifying anthropogenic pressure and increasing habitat fragmentation. Here, using a dominant and widespread tree species characteristic of East Asian EBLFs, we examine its phylogeographic history and evaluate what it
Sheng‐Yuan Qin +7 more
wiley +1 more source
Enhancing gene regulatory network inference through data integration with markov random fields. [PDF]
Banf M, Rhee SY.
europepmc +1 more source
Bridging Human and Plant Adaptations for Climate Resilience
Climate change is transforming agriculture through both gradual shifts and increasingly unpredictable extremes, challenging farmers' ability to protect crops and livelihoods. This study brings together farmer experiences and plant adaptation strategies to explore how people and plants respond to similar climate pressures.
Nicola Favretto +3 more
wiley +1 more source
Efficient 3-D Reconstruction in Ultrasound Elastography via a Sparse Iteration Based on Markov Random Fields. [PDF]
Ingle A, Varghese T, Sethares WA.
europepmc +1 more source
ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley +1 more source
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Incorporating interaction networks into the determination of functionally related hit genes in genomic experiments with Markov random fields. [PDF]
Robinson S +5 more
europepmc +1 more source

