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1
A solar-powered, milligram prototype robot from a three-chip process.
A solar-powered, milligram prototype robot from a three-chip process.
A solar-powered, milligram prototype robot from a three-chip process.
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A solar-powered, milligram prototype robot from a three-chip process.

Seth Edward-Austin. Hollar University of California, Berkeley. 2003

Dissertation Abstracts International 64-09B.

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2
Concurrent hierarchical reinforcement learning.
Concurrent hierarchical reinforcement learning.
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Concurrent hierarchical reinforcement learning.

Bhaskara Mannar. Marthi University of California, Berkeley. 2006

Dissertation Abstracts International 68-02B.

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3
Robust reputations for peer-to-peer markets.
Robust reputations for peer-to-peer markets.
Robust reputations for peer-to-peer markets.
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Robust reputations for peer-to-peer markets.

Jonathan David. Traupman University of California, Berkeley. 2007

Dissertation Abstracts International 68-08B.

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4
Sparsity and model selection through convex penalties: Structured selection, covariance selection and some theory.
Sparsity and model selection through convex penalties: Structured selection, covariance selection and some theory.
Sparsity and model selection through convex penalties: Structured selection, covariance selection and some theory.
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Sparsity and model selection through convex penalties: Structured selection, covariance selection and some theory.

Guilherme N. L. Veiga da. Rocha University of California, Berkeley. 2008

Dissertation Abstracts International 69-09B.

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5
Reinforcement learning in large or unknown MDPs.
Reinforcement learning in large or unknown MDPs.
Reinforcement learning in large or unknown MDPs.
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Reinforcement learning in large or unknown MDPs.

Ambuj. Tewari University of California, Berkeley. 2007

Dissertation Abstracts International 69-05B.

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6
Evaluating the security of machine learning algorithms.
Evaluating the security of machine learning algorithms.
Evaluating the security of machine learning algorithms.
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Evaluating the security of machine learning algorithms.

Marco Antonio. Barreno University of California, Berkeley. 2008

Dissertation Abstracts International 69-09B.

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7
Measuring the ecological validity of grouping and figure-ground cues.
Measuring the ecological validity of grouping and figure-ground cues.
Measuring the ecological validity of grouping and figure-ground cues.
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Measuring the ecological validity of grouping and figure-ground cues.

Charless Christopher. Fowlkes University of California, Berkeley. 2005

Dissertation Abstracts International 67-04B.

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8
Case-based reasoning for MEMS design synthesis.
Case-based reasoning for MEMS design synthesis.
Case-based reasoning for MEMS design synthesis.
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Case-based reasoning for MEMS design synthesis.

Corie Lynn. Cobb University of California, Berkeley. 2008

Dissertation Abstracts International 70-04B.

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9
Simultaneous variable selection and simultaneous subspace selection for multitask learning.
Simultaneous variable selection and simultaneous subspace selection for multitask learning.
Simultaneous variable selection and simultaneous subspace selection for multitask learning.
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Simultaneous variable selection and simultaneous subspace selection for multitask learning.

Guillaume Romain. Obozinski University of California, Berkeley. 2009

Dissertation Abstracts International 70-10B.

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10
Discriminative machine learning with structure.
Discriminative machine learning with structure.
Discriminative machine learning with structure.
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Discriminative machine learning with structure.

Simon. Lacoste-Julien University of California, Berkeley. 2009

Dissertation Abstracts International 71-06B.

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