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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 8 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
ICSE
2009
IEEE-ACM
15 years 4 months ago
Automatically capturing source code context of NL-queries for software maintenance and reuse
As software systems continue to grow and evolve, locating code for maintenance and reuse tasks becomes increasingly difficult. Existing static code search techniques using natura...
Emily Hill, Lori L. Pollock, K. Vijay-Shanker
ESWS
2008
Springer
14 years 11 months ago
Graph Summaries for Subgraph Frequency Estimation
A fundamental problem related to graph structured databases is searching for substructures. One issue with respect to optimizing such searches is the ability to estimate the freque...
Angela Maduko, Kemafor Anyanwu, Amit P. Sheth, Pau...
JMLR
2012
13 years 15 days ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
AAAI
2007
15 years 11 days ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...