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» Scalable, updatable predictive models for sequence data
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SIGIR
2009
ACM
15 years 7 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 4 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
85
Voted
SODA
2004
ACM
155views Algorithms» more  SODA 2004»
15 years 1 months ago
Navigating nets: simple algorithms for proximity search
d Abstract] Robert Krauthgamer James R. Lee We present a simple deterministic data structure for maintaining a set S of points in a general metric space, while supporting proximit...
Robert Krauthgamer, James R. Lee
96
Voted
BMCBI
2006
130views more  BMCBI 2006»
15 years 18 days ago
4SALE - A tool for synchronous RNA sequence and secondary structure alignment and editing
Background: In sequence analysis the multiple alignment builds the fundament of all proceeding analyses. Errors in an alignment could strongly influence all succeeding analyses an...
Philipp N. Seibel, Tobias Müller, Thomas Dand...
CLADE
2008
IEEE
15 years 7 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens