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PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
13 years 9 months ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
ICCAD
1999
IEEE
88views Hardware» more  ICCAD 1999»
13 years 8 months ago
Performance optimization under rise and fall parameters
Typically,cell parameterssuch as the pin-to-pinintrinsicdelays, load-dependentcoe cients,andinputpin capacitanceshavedifferent values for rising and falling signals. The performan...
Rajeev Murgai
SAMOS
2007
Springer
13 years 9 months ago
Mapping and Performance Evaluation for Heterogeneous MP-SoCs Via Packing
The computational demand of signal processing algorithms is rising continuously. Heterogeneous embedded multiprocessor systems-on-chips are one solution to tackle this demand. But ...
Bastian Ristau, Gerhard Fettweis
HSNMC
2003
Springer
102views Multimedia» more  HSNMC 2003»
13 years 8 months ago
A RTT-based Partitioning Algorithm for a Multi-rate Reliable Multicast Protocol
Various Internet applications involve multiple parties and usually adopt a one-to-many communication paradigm (multicast). The presence of multiple receivers in a multicast session...
Moufida Maimour, CongDuc Pham
NIPS
2007
13 years 5 months ago
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
Ben Blum, Michael I. Jordan, David Kim, Rhiju Das,...