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Št. zadetkov: 7
Probabilistic and Logical Inference for Network Mining
Luc De Raedt
Video in druga učna gradiva
Oznake: computer science;network analysis;data mining
In this talk I shall analyze network mining and bisociation from a logical and probabilistic inference point of view. This is inspired by the work on ProbLog for link mining [De Raedt, Kimmig, Toivonen, IJCAI 2007], which is - in turn -based on Biomine [Sevonen et al. DILS 06]. The talk shall introd ...
Leto: 2009 Vir: videolectures.net
Declarative Modeling For Machine Learning and Data Mining
Luc De Raedt
Video in druga učna gradiva
Oznake: computer science;data mining;machine learning
Despite the popularity of machine learning and data mining today, it remains challenging to develop applications and software that incorporates machine learning or data mining techniques. This is because machine learning and data mining have focussed on developing high-performance algorithms for sol ...
Leto: 2012 Vir: videolectures.net
ProbLog and its Application to Link Mining in Biological Networks
Luc De Raedt
Video in druga učna gradiva
Oznake: computer science;bioinformatics;computational systems biology;web mining
ProbLog is a recently introduced probabilistic extension of Prolog [De Raedt, Kimmig, Toivonen, IJCAI 07]. A ProbLog program defines a distribution over logic programs by specifying for each clause the probability that it belongs to a randomly sampled program, and these probabilities are mutually in ...
Leto: 2007 Vir: videolectures.net
From Inductive Querying to Declarative Modeling for Data Mining
Luc De Raedt
Video in druga učna gradiva
Oznake: computer science;databases;data mining
In this talk I shall present a personal perspective on the quest for a unifying framework and theory of data mining. The starting point will be the notion of an inductive database as proposed in the seminal paper by Imielinski and Mannila (CACM 95), in which the knowledge discovery process is viewed ...
Leto: 2012 Vir: videolectures.net
A Simple Model for Sequences of Relational State Descriptions
Ingo Thon , Niels Landwehr , Luc De Raedt
Video in druga učna gradiva
Oznake:
Artificial intelligence aims at developing agents that learn and act in complex environments. Realistic environments typically feature a variable number of objects, relations amongst them, and non-deterministic transition behavior. Standard probabilistic sequence models provide efficient inference a ...
Leto: 2008 Vir: videolectures.net
Parameter Learning in Probabilistic Databases: A Least Squares Approach
Bernd Gutmann , Angelika Kimmig , Luc De Raedt , Kristian Kersting
Video in druga učna gradiva
Oznake: computer science;machine learning;statistical learning
We introduce the problem of learning the parameters of the probabilistic database ProbLog. Given the observed success probabilities of a set of queries, we compute the probabilities attached to facts that have a low approximation error on the training examples as well as on unseen examples. Assuming ...
Leto: 2008 Vir: videolectures.net
Panel Discussion
Pedro Domingos , Stephen Muggleton , Luc De Raedt , Kristian Kersting , Thomas Gartner , Karsten Michael Borgwardt , C. David Page Jr. , Paolo Frasconi
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 7
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