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IR
2010
15 years 5 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
EVOW
2009
Springer
15 years 4 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
CORR
2010
Springer
102views Education» more  CORR 2010»
15 years 1 months ago
Superior Exploration-Exploitation Balance with Quantum-Inspired Hadamard Walks
This paper extends the analogies employed in the development of quantum-inspired evolutionary algorithms by proposing quantum-inspired Hadamard walks, called QHW. A novel quantum-...
Sisir Koppaka, Ashish Ranjan Hota
WEA
2004
Springer
150views Algorithms» more  WEA 2004»
16 years 10 hour ago
Increased Bit-Parallelism for Approximate String Matching
Abstract. Bit-parallelism permits executing several operations simultaneously over a set of bits or numbers stored in a single computer word. This technique permits searching for t...
Heikki Hyyrö, Kimmo Fredriksson, Gonzalo Nava...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 7 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt