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ICML
2010
IEEE
13 years 11 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
VLSID
2006
IEEE
112views VLSI» more  VLSID 2006»
14 years 4 months ago
Handling Constraints in Multi-Objective GA for Embedded System Design
Design space exploration is central to embedded system design. Typically this is a multi-objective search problem, where performance, power, area etc. are the different optimizati...
Biman Chakraborty, Ting Chen, Tulika Mitra, Abhik ...
GI
2009
Springer
13 years 8 months ago
Towards a Parallel Search for Solutions of Non-deterministic Computations
: In this paper we explore the possibilities to perform the search for results of non-deterministic computations in parallel. We present three different approaches to this problem:...
Fabian Reck, Sebastian Fischer
EPS
1998
Springer
14 years 2 months ago
Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets
The task of finding minimal elements of a partially ordered set is a generalization of the task of finding the global minimum of a real-valued function or of finding Pareto-optimal...
Günter Rudolph
SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
14 years 10 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis