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ICML
1998
IEEE
14 years 8 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
CSB
2005
IEEE
117views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Protein Structure Prediction Using Physical-Based Global Optimization and Knowledge-Guided Fragment Packing
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
Jinhui Ding, Elizabeth Eskow, Nelson L. Max, Silvi...
LREC
2008
111views Education» more  LREC 2008»
13 years 9 months ago
Sensitivity of Automated MT Evaluation Metrics on Higher Quality MT Output: BLEU vs Task-Based Evaluation Methods
We report the results of an experiment to assess the ability of automated MT evaluation metrics to remain sensitive to variations in MT quality as the average quality of the compa...
Bogdan Babych, Anthony Hartley
BMCBI
2007
168views more  BMCBI 2007»
13 years 7 months ago
Benchmarking consensus model quality assessment for protein fold recognition
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
Liam J. McGuffin
ICIDS
2010
Springer
13 years 5 months ago
Measuring User Responses to Interactive Stories: Towards a Standardized Assessment Tool
With the increasing number of prototypes and market applications of interactive storytelling, the understanding and optimization of how end users respond to computer-mediated inter...
Ivar E. Vermeulen, Christian Roth, Peter Vorderer,...