Št. zadetkov: 12
Video in druga učna gradiva
Oznake:
computer science;machine learning
Statistical machine learning is in the midst of a "relational revolution". After many decades of focusing on independent and identically-distributed (iid) examples, researchers are now studying problems in which the examples are linked together into complex networks. These networks can be a simple ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning;inductive logic programming
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;inductive logic programming
Problems that arise from linkage and autocorrelation among objects must be taken into account. Because instances are linked together, classification typically involves complex inference to arrive at "collective classification" in which the labels predicted for the test instances are determined joint ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning;inductive logic programming
Statistical machine learning is in the midst of a "relational revolution". After many decades of focusing on independent and identically-distributed (iid) examples, many researchers are now studying problems in which the examples are linked together into complex networks. These networks can be a sim ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
Statistical relational learning raises many new challenges and opportunities. Because the statistical model depends on the domain's relational structure, parameters in the model are often tied. This has advantages for making parameter estimation feasible, but complicates the model search. Because th ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
mathematics;graph theory
Within the machine learning community, there has been a growing interest in learning structured models from input data that is itself structured. Graph identification refers to methods that transform an observed input graph into an inferred output graph. Examples include inferring organizational hie ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;big data;semantic web
Addressing inherent uncertainty and exploiting structure are fundamental to turning data into knowledge. Statistical relational learning (SRL) builds on principles from probability theory and statistics to address uncertainty while incorporating tools from logic to represent structure. In this talk ...
Leto:
2015
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;artificial intelligence;semantic web
Big data problems benefit from modeling both structure and uncertainty, so there is a growing need for tools to develop large, complex probabilistic models. These tools should combine high-level knowledge representation with general purpose, scalable algorithms for learning and inference. In this ta ...
Leto:
2015
Vir:
videolectures.net