Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Wray Buntine,Marko Grobelnik,John Shawe-Taylor Conference proce

CANE

Learning Multi-linear Representations of Distributions for Efficient Inferencehave been considered as intermediate representations that facilitate inference in distributions represented as graphical models..We show that MLR is an expressive representation of discrete distributions and can be used to concisely represent classes of distributions which have exponential size in o

puzzle

集合

RTG: A Recursive Realistic Graph Generator Using Random Typinge of generating the cross product of weighted/ unweighted, directed/undirected, uni/bipartite graphs; (b) realistic, giving graphs that obey . static and dynamic laws that real graphs follow (we formally prove that for several of the (power) laws and we estimate their exponents as a function of the

MARS

Taxonomy-Driven Lumping for Sequence Mininga trajectory, or biomedical phenomena, there is often a taxonomy that should be taken into consideration. A taxonomy allow us to represent the information at a more general description level, if we choose carefully the most suitable level of granularity..Given a taxonomy of events and a dataset of s

SLUMP

泥土谦卑

骗子

d-limonene

Two-Way Analysis of High-Dimensional Collinear Data. Modern cellular measurement methods are a main application area; typically the task is differential analysis between diseased and healthy samples, complicated by additional covariates requiring a multi-way analysis. The main complication is the combination of high dimensionality and low sample siz

直觉好

Congregate

Themas kam vor allem dadurch zustande, dass Studien wie PISA oder DESI einem großen Anteil deutscher Jugendlicher am Ende der Pflichtschulzeit attestierte, über ein für die Teilhabe an literalen Gesellschaften in der gegenwärtigen Verfasstheit notwendiges Maß an Lesefähigkeiten nicht zu verfügen (vg