Results 91 to 100 of about 12,421,662 (339)
Adapting Ranking Functions to User Preference
Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, which is expensive to get for training a satisfactory ranking function.
Keke Chen +9 more
core +1 more source
This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley +1 more source
Automatic Synthesis of Linear Program Ranking Functions
:Due to determining the classical ranking functions of program verification, a new approach was proposed based on the theory of semi-algebraic systems.
Li Jun, LI Yl, Feng Yong, Qin Xiao-lin
doaj
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Ranking functions have been introduced under the name of ordinal conditional functions in Spohn (1988; 1990). They are representations of epistemic states and their dynamics. The most comprehensive and up to date presentation is Spohn (manuscript).
openaire +2 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
This paper proposed a new method for learning to rank documents using enumerative feature subsetting in the presence of the implicit user feedback of the various classes of users.
Mohd Wazih Ahmad +2 more
doaj +1 more source
Relationship between bibliometric indicators and university ranking positions
A growing interest for demonstrating prestige and status of higher education institutions has spurred the establishment of several international ranking systems.
Péter Szluka +2 more
doaj +1 more source
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Influence of choice of priority functions on the multi criteria ranking result
PROMETHEE method differs from other methods by its deeper logic. The main tool of the method is so-called priority functions. Choice of functions and their parameters is made by decision-makers. PROMETHEE method provides a choice between a large range of
Valentinas Podvezko +1 more
doaj +1 more source

