David Hall dlwh

To the Extended UC Berkeley Community:

As you know, yesterday an effort was made to establish an encampment on Sproul Plaza, by the "Occupy Cal" movement. This followed and marred the aftermath of an impressive, peaceful noontime rally on Sproul on behalf of public education, which was attended by some 3,000 participants and observers, including many campus leaders. We compliment the organizers and speakers for setting an example of peaceful protest and mobilization. As we informed the campus community earlier this week, we understand and share the concern of the Occupy movement about the extreme concentration of wealth in US society and the steady disinvestment in public higher education by California and other States.

We want to clarify our position on "no encampments" so you better understand why we do not allow this to occur on our campus. When the no-encampment policy was enacted, it was born out of past experiences that grew beyond our control and ability to manage safely. Past experiences at UC B

	import scalanlp.optimize.FirstOrderMinimizer.OptParams
	import scalanlp.config.{GenerateHelp, CommandLineParser}
	import collection.mutable.ArrayBuffer
	import io.Source
	import collection.immutable.BitSet
	import scalanlp.util.{Iterators, Index}
	import java.io._
	import scalala.tensor.dense.DenseVector
	import scalanlp.optimize.{CachedBatchDiffFunction, BatchDiffFunction, DiffFunction}

	nw/wsj/00/wsj_0020 0 0 The DT (TOP_(S_(NP_* - - - - * * (ARG0* * * * (11
	nw/wsj/00/wsj_0020 0 1 U.S. NNP ) - - - - (GPE) ) * * 11)
	nw/wsj/00/wsj_0020 0 2 , , * - - - - * * * * * * -
	nw/wsj/00/wsj_0020 0 3 claiming VBG (S_(VP_* claim 01 2 - * (V) (ARGM-ADV * * * -
	nw/wsj/00/wsj_0020 0 4 some DT (NP_(NP_* - - - - * (ARG1* * * * * -
	nw/wsj/00/wsj_0020 0 5 su

	def visualize(trainer: Classifier.Trainer[Boolean,DenseVector[Double]],
	data: Iterable[Example[Boolean,DenseVector[Double]]],
	npoints: Int = 10000) = {
	require(data.head.features.size == 3)
	val classifier = trainer.train(data)
	val xmin = data.map(_.features(1)).min
	val xmax = data.map(_.features(1)).max
	val ymin = data.map(_.features(2)).min
	val ymax = data.map(_.features(2)).max
	val points = for( v <- new HaltonSequence(2).sample(npoints)) yield DenseVector(1.0, xmin + (xmax - xmin) * v.data(0), ymin + (ymax - ymin) * v.data(1))

	trait Action {

	// ...
	def instantiate(inventory: ResourceMap[Resource], units: Iterable[Unit]):ActionMachine


	}

	class BuildAction(tpe: UnitType) extends AwesomeAction {
	def instantiate(inventory: ResourceMap[Resource], units: Iterable[Unit]):ActionMachine = new ActionMachine {

	class SparseMatrix[V:Scalar] extends mutable.Matrix[V] {
	def numRows = 0

	def numCols = 0

	def update(i: Int, j: Int, value: V) {}

	val scalar = implicitly[Scalar[V]]

	def apply(i: Int, j: Int) = null

	package edu.berkeley.nlp.starcraft.collect;

	import java.util.AbstractCollection;
	import java.util.AbstractMap;
	import java.util.ArrayList;
	import java.util.Collection;
	import java.util.HashMap;
	import java.util.Iterator;
	import java.util.Map;
	import java.util.Set;

	public static void main(String[] args) {
	ProxyBotFactory factory = new ProxyBotFactory() {

	@Override
	public ProxyBot getBot(Game g) {
	return new Overmind(new MineMineMine(), new Properties());
	}

	};
	new ProxyServer(factory).run();

	from siu wendy <[email protected]>
	to XXX
	date Thu, Jan 6, 2011 at 12:49 PM
	subject Happy New Year!
	signed-by yandex.ru
	hide details 12:49 PM (38 minutes ago)
	Hola David!

	alguien de gwangju me escribio s/meditacion y me dijo q me mando el correo
	porque me inscribi a la lista q es mentira. ya la bloquee. aparte escuche q

	import scalala.Scalala._;
	import scalala.tensor._;
	import scalala.tensor.dense_;

	object KMeans {
	// Returns the centers of the k clusters, and the clusters themselves
	def cluster(data: Seq[Vector], k: Int): Seq[Vector] = {
	var means = data.take(k);
	var converged = false;