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» Framework Design for End-to-End Optimization
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AAAI
2008
15 years 8 months ago
Strategyproof Classification under Constant Hypotheses: A Tale of Two Functions
We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfi...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
COLING
2008
15 years 7 months ago
A Discriminative Alignment Model for Abbreviation Recognition
This paper presents a discriminative alignment model for extracting abbreviations and their full forms appearing in actual text. The task of abbreviation recognition is formalized...
Naoaki Okazaki, Sophia Ananiadou, Jun-ichi Tsujii
ENTCS
2006
126views more  ENTCS 2006»
15 years 6 months ago
An Applicative Control-Flow Graph Based on Huet's Zipper
We are using ML to build a compiler that does low-level optimization. To support optimizations in classic imperative style, we built a control-flow graph using mutable pointers an...
Norman Ramsey, João Dias
TSP
2008
144views more  TSP 2008»
15 years 6 months ago
A New Robust Variable Step-Size NLMS Algorithm
A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm o...
Leonardo Rey Vega, Hernan Rey, Jacob Benesty, Sara...
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 5 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer