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ICML
2003
IEEE
16 years 5 months ago
BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games
We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number...
Vincent Conitzer, Tuomas Sandholm
CSMR
2004
IEEE
15 years 8 months ago
Tool Support for Traceable Product Evolution
In software product families, the full benefit of reuse can only be achieved if traceability of requirements to architecture, components and further down to source code is support...
Patricia Lago, Eila Niemelä, Hans van Vliet
COLT
2008
Springer
15 years 6 months ago
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Shai Shalev-Shwartz, Yoram Singer
142
Voted
BMCBI
2007
116views more  BMCBI 2007»
15 years 4 months ago
Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
César L. Avila, Viviana A. Rapisarda, Ricar...
162
Voted
IFM
2010
Springer
159views Formal Methods» more  IFM 2010»
15 years 3 months ago
A Logical Framework to Deal with Variability
We present a logical framework that is able to deal with variability in product family descriptions. The temporal logic MHML is based on the classical Hennessy–Milner logic with ...
Patrizia Asirelli, Maurice H. ter Beek, Alessandro...