Add to ORKGAbstract. Statistical Relational Learning is a new subfield of artificial intelligenc
While understanding natural language is easy for humans, it is complex forcomputers. The main reason...
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such...
Probabilistic inductive logic programming (PILP), sometimes also called statistical relational learn...
Relational learning refers to learning from data that have a complex structure. This structure may ...
Abstract. Statistical relational learning (SRL) addresses one of the central open questions of AI: t...
This workshop is the third in a series of workshops held in conjunction with AAAI and IJCAI. The fir...
I use the term logical and relational learning (LRL) to refer to the subfield of machine learning an...
Invited talkThis talk shall introduce the field of statistical relational learning, which is concern...
My research activity focuses on the field of Machine Learning. Two key challenges in most machine l...
We report on two exercises in modeling, inference and learning with seven statistical relational lea...
We live in a richly interconnected world and, not surprisingly, we generate richly interconnected da...
Invited Tutorial; video available from https://www.facebook.com/nipsfoundation/videos/15522226715356...
In this extended abstract, rather than crossing the boundary between attribute-value and relational ...
The vast majority of work in Machine Learning has focused on propositional data which is assumed to ...
In the past few years there has been a lot of work lying at the intersection of probability theory, ...
While understanding natural language is easy for humans, it is complex forcomputers. The main reason...
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such...
Probabilistic inductive logic programming (PILP), sometimes also called statistical relational learn...
Relational learning refers to learning from data that have a complex structure. This structure may ...
Abstract. Statistical relational learning (SRL) addresses one of the central open questions of AI: t...
This workshop is the third in a series of workshops held in conjunction with AAAI and IJCAI. The fir...
I use the term logical and relational learning (LRL) to refer to the subfield of machine learning an...
Invited talkThis talk shall introduce the field of statistical relational learning, which is concern...
My research activity focuses on the field of Machine Learning. Two key challenges in most machine l...
We report on two exercises in modeling, inference and learning with seven statistical relational lea...
We live in a richly interconnected world and, not surprisingly, we generate richly interconnected da...
Invited Tutorial; video available from https://www.facebook.com/nipsfoundation/videos/15522226715356...
In this extended abstract, rather than crossing the boundary between attribute-value and relational ...
The vast majority of work in Machine Learning has focused on propositional data which is assumed to ...
In the past few years there has been a lot of work lying at the intersection of probability theory, ...
While understanding natural language is easy for humans, it is complex forcomputers. The main reason...
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such...
Probabilistic inductive logic programming (PILP), sometimes also called statistical relational learn...