2263 search results - page 23 / 453 » On learning in agent-centered search |
NIPS
2007
14 years 9 days ago
2007
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
AAAI
1996
14 years 6 days ago
1996
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
AAAI
2006
14 years 8 days ago
2006
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
KDD
2012
ACM
12 years 1 months ago
2012
ACM
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
ML
2002
ACM
13 years 10 months ago
2002
ACM
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...