1017 search results - page 18 / 204 » Constructive and collaborative learning of algorithms |
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
NAACL
2007
13 years 9 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
JCP
2007
13 years 7 months ago
2007
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
IJCAI
2007
13 years 9 months ago
2007
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...