Transfer Learning Evaluation with Relational Nets
نویسنده
چکیده
Evaluation of transfer learning systems requires deployment of carefully structured problem instances, composed of source and target subproblems. In general, the difficulty of a transfer learning task is measured by the relationship between the source and target. Relational nets provide a formalism for rigorously defining the source-target relationship in transfer learning tasks.
منابع مشابه
Join Bayes Nets: A New Type of Bayes net for Relational Data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the database is essentially that of a logical language, with variables ranging over individual entities and predicates for relationships and attributes. Our work combines the graphical structure of Bayes nets with the logi...
متن کاملBayes Nets for combining logical and probabilistic structure
We outline a new approach to using Bayes nets for a probabilistic extension of a logical structure or schema. Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the database is essentially that of a logical language, with variables ranging over individual entities and pred...
متن کاملFast Parameter Learning for Markov Logic Networks Using Bayes Nets
Markov Logic Networks (MLNs) are a prominent statistical relational model that have been proposed as a unifying framework for statistical relational learning. As part of this unification, their authors proposed methods for converting other statistical relational learners into MLNs. For converting a first order Bayes net into an MLN, it was suggested to moralize the Bayes net to obtain the struc...
متن کاملLearning Class-Level Bayes Nets for Relational Data
Many databases store data in relational format, with different types of entities and information about links between the entities. The field of statistical-relational learning (SRL) has developed a number of new statistical models for such data. In this paper we focus on learning class-level or first-order dependencies, which model the general database statistics over attributes of linked objec...
متن کاملJoin Bayes Nets: A new type of Bayes net for relational data
Many databases store data in relational format, with different types of entities and information about links between the entities. The field of statistical-relational learning has developed a number of new statistical models for such data. Instead of introducing a new model class, we propose using a standard model class—Bayes nets—in a new way: Join Bayes nets contain nodes that correspond to t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006