Eager learning

Known as: Eager

In artificial intelligence, eager learning is a learning method in which the system tries to construct a general, input-independent target function…

Papers overview

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2018

2017

Aggregations are almost always done at the top of operator tree after all selections and joins in a SQL query. But actually they…

2015

Reverse Nearest Neighbor (RNN) queries are a pipeline of complimentary problems, and have aroused a vast concern in the world in…

2013

In this paper, we propose a lazy learning classifier based on tensor voting framework for supervised binary and multiclass…

2012

Text categorization is a fundamental methodology of text mining and it is also a hot topic of the research of data mining and web…

2007

Database replication protocols based on a certification app ro ch are usually the best ones for achieving good performance when…

2006

Load distribution is a well known critical problem in every distributed system. From operating systems to agent oriented…

2005

We propose a novel lazy learning method called QPAL. QPAL does not simply utilize a kind of distance measure between the query…

2005

We present a systematic approach to automatic Web recommender systems based on Web usage mining in a first stage to learn user…

1994

Derivation replay was first proposed by Carbonell as a method of transferring guidance from a previous problemsolving episode to…